* installing *source* package 'RcppML' ...
** this is package 'RcppML' version '1.0.0'
** using staged installation

   **********************************************
   WARNING: this package has a configure script
         It probably needs manual configuration
   **********************************************


** libs
using C++ compiler: 'g++.exe (GCC) 14.3.0'
g++ -std=gnu++20  -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp -DEIGEN_INITIALIZE_MATRICES_BY_ZERO -DEIGEN_NO_DEBUG -DSPARSEPRESS_USE_R -DFACTORNET_USE_R -Wa,-mbig-obj   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c RcppExports.cpp -o RcppExports.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from ../inst/include/FactorNet.h:26,
                 from ../inst/include/RcppML.h:9,
                 from RcppExports.cpp:4:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet.h:59:57:   required from here
   59 | inline Eigen::VectorXd getColumn(const SpMat& A, int col) {
      |                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet.h:59:57:   required from here
   59 | inline Eigen::VectorXd getColumn(const SpMat& A, int col) {
      |                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from ../inst/include/FactorNet.h:27:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
RcppExports.cpp:114:776:   required from here
  114 |     rcpp_result_gen = Rcpp::wrap(Rcpp_nmf_full(A_sexp, k_vec, k_auto, k_auto_min, k_auto_max, L1, L2, L21, angular, upper_bound, graph_lambda, tol, maxit, cd_maxit, cd_tol, threads, seed, nonneg_w, nonneg_h, sort_model, mask_zeros, track_loss_history, track_train_loss, loss_str, huber_delta, holdout_fraction, cv_seeds, cv_patience, resource_override, norm_str, graph_W_sexp, graph_H_sexp, w_init_sexp, h_init_sexp, verbose, mask_sexp, projective, symmetric_nmf, solver_mode, init_mode, irls_max_iter, irls_tol, gp_dispersion_mode, gp_theta_init, gp_theta_max, zi_mode, zi_em_iters, gp_theta_min, nb_size_init, nb_size_max, nb_size_min, gamma_phi_init, gamma_phi_max, gamma_phi_min, robust_delta, tweedie_power, on_iteration_r, target_H_sexp, target_lambda, enable_profiling));
      |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++20  -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp -DEIGEN_INITIALIZE_MATRICES_BY_ZERO -DEIGEN_NO_DEBUG -DSPARSEPRESS_USE_R -DFACTORNET_USE_R -Wa,-mbig-obj   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c RcppFunctions_graph.cpp -o RcppFunctions_graph.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from RcppFunctions_common.h:7,
                 from RcppFunctions_graph.cpp:9:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet.h:59:57:   required from here
   59 | inline Eigen::VectorXd getColumn(const SpMat& A, int col) {
      |                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet.h:59:57:   required from here
   59 | inline Eigen::VectorXd getColumn(const SpMat& A, int col) {
      |                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, 0>'
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from 'class Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >'
  255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_common.h:18:54:   required from here
   18 | inline MappedSpMat mapSparseMatrix(const Rcpp::S4& s4) {
      |                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
RcppFunctions_common.h:45:43:   required from here
   45 |         gd.degrees = Eigen::VectorXd::Zero(gd.matrix.cols());
      |                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:40:37:   required from here
   40 |     const int k = static_cast<int>(H.rows());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:48:51:   required from here
   48 |     G.triangularView<Eigen::Upper>() = G.transpose();
      |                                        ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:15:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |     ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:23:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |     ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, -1, -1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:61:37:   required from here
   61 |     const int k = static_cast<int>(H.rows());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:61:37:   required from here
   61 |     const int k = static_cast<int>(H.rows());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<float, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:65:51:   required from here
   65 |     G.triangularView<Eigen::Upper>() = G.transpose();
      |                                        ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:15:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |     ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:23:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |     ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<float, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:28:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:181:43:   required from here
  181 |         detail::cd_nnls_col_fixed(G, B.col(j).data(), X.col(j).data(),
      |                                      ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:221:43:   required from here
  221 |         detail::cd_nnls_col_fixed(G, B.col(j).data(), X.col(j).data(),
      |                                      ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Sparse>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >::CastXpr<NewType>::Type Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
RcppFunctions_graph.cpp:148:55:   required from here
  148 |                 sparse_storage[i] = mapped.cast<float>();
      |                                     ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
RcppFunctions_graph.cpp:154:52:   required from here
  154 |                 dense_storage[i] = dmat.cast<float>();
      |                                    ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::SparseMatrix<double, 0, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::CastXpr<NewType>::Type Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
RcppFunctions_graph.cpp:204:52:   required from here
  204 |                 w_graph_storage[i] = gd.cast<float>();
      |                                      ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/core/result.hpp:78:25:   required from 'struct FactorNet::NMFResult<float>'
   78 |     DenseVector<Scalar> d;   ///< k    (diagonal scaling)
      |                         ^
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<float, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::CastXpr<double>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
RcppFunctions_graph.cpp:296:58:   required from here
  296 |             Rcpp::Named("W") = lr.W.template cast<double>(),
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<float, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >::CastXpr<double>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
RcppFunctions_graph.cpp:297:58:   required from here
  297 |             Rcpp::Named("d") = lr.d.template cast<double>(),
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
RcppFunctions_graph.cpp:339:53:   required from here
  339 |                 splits[kv.first] = W_full.middleRows(row_offset, nr);
      |                                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:46:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:46:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<float, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<float, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<float, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<float, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >; Scalar = float]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:45:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >; Scalar = float]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:45:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:53:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                                ~~~~~^~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:53:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                                ~~~~~^~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
  292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >, Eigen::internal::IteratorBased, float>'
   27 |       CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                               ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
RcppFunctions_graph.cpp:148:56:   required from here
  148 |                 sparse_storage[i] = mapped.cast<float>();
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double, 0, int> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >, Eigen::internal::IteratorBased, float>'
   27 |       CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                               ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
RcppFunctions_graph.cpp:204:53:   required from here
  204 |                 w_graph_storage[i] = gd.cast<float>();
      |                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:42:14:   required from here
   42 |     G.setZero();
      |     ~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, -1, -1>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:63:14:   required from here
   63 |     G.setZero();
      |     ~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:69:34:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   69 |     d = DenseVector<Scalar>::Ones(k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:88:23:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   88 |         W_T.bottomRows(k - k_actual) = fill_W;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, -1, 1, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:155:45:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  155 |         result.H = result.W.transpose().eval();
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:33:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |                             ~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:455:76:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  455 |                         b_col.noalias() += static_cast<Scalar>(it.value()) * W_T.col(it.row());
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:469:38:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  469 |                         B_panel.array() -= static_cast<Scalar>(config.H.L1);
      |                         ~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:500:56:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  500 |                         static_cast<double>(B_panel.row(f).dot(H_panel.row(f)));
      |                                             ~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/graph/fit.hpp:334:45:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                         ~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/graph/fit.hpp:334:64:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                         ~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:335:38:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  335 |             Scalar layer_loss = (eff - recon).squaredNorm()
      |                                 ~~~~~^~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   91 |     gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                             ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<float, long long int, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   91 |     gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                             ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<float, float, long long int, Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>, 8, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<float, float, long long int, Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>, 8, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:109:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  109 |         row_inv_sds = row_sds.cwiseInverse();
      |                       ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::SparseMatrix<float, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, Eigen::Sparse>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::SparseMatrix<float, 0, int> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::SparseMatrix<float, 0, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::SparseMatrix<float, 0, int> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >::CastXpr<NewType>::Type Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
../inst/include/FactorNet/svd/lanczos.hpp:119:62:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  119 |         SparseMatrix<Scalar> A_cast = A.template cast<Scalar>();
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:168:17:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  168 |         p0.array() -= static_cast<Scalar>(0.5);
      |         ~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/svd/lanczos.hpp:209:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  209 |             auto Q_j = Q.leftCols(j);
      |                        ~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<float, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:210:30:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  210 |             auto h = h_q.head(j);
      |                      ~~~~~~~~^~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:40:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |                           ~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |                           ~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:32:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |                            ~~~~^~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:228:22:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  228 |         Q.col(j) = r / alpha(j);
      |                    ~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:246:10:   required from 'struct Eigen::internal::qr_preconditioner_impl<Eigen::Matrix<float, -1, -1>, 2, 0, true>'
  246 |   QRType m_qr;
      |          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:609:110:   required from 'class Eigen::JacobiSVD<Eigen::Matrix<float, -1, -1>, 2>'
  609 |     internal::qr_preconditioner_impl<MatrixType, QRPreconditioner, internal::PreconditionIfMoreColsThanRows> m_qr_precond_morecols;
      |                                                                                                              ^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Matrix<float, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:324:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  324 |     result.d = svd_b.singularValues().head(k_actual);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1>, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:63:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:37:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |                ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:238:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  238 |         V.col(0).array() -= static_cast<Scalar>(0.5);
      |         ~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:53:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |                                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:37:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:76:58:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Eigen::Map<Eigen::Matrix<Scalar, Eigen::Dynamic, 1>> b_vec(b, k);
      |                                                          ^~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:81:20:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   81 |         b_vec.array() -= L1;
      |         ~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:99:31:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   99 |         x_vec = x_vec.cwiseMax(static_cast<Scalar>(0));
      |                 ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:104:31:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  104 |         x_vec = x_vec.cwiseMin(upper_bound);
      |                 ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<float, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<float, -1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<float, -1, -1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >; Scalar = float]'
   34 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:469:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  469 |                         B_panel.array() -= static_cast<Scalar>(config.H.L1);
      |                         ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >; Scalar = float]'
   34 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:469:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  469 |                         B_panel.array() -= static_cast<Scalar>(config.H.L1);
      |                         ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:162:23:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         X = X.cwiseMax(static_cast<Scalar>(0));
      |             ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:472:63:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  472 |                     FactorNet::primitives::cholesky_clip_batch(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  473 |                         G_solve, B_panel, H_panel,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  474 |                         config.H.nonneg, config.threads, false);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/features/angular.hpp:119:22:   required from 'void FactorNet::features::apply_angular_posthoc(FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  119 |     Factor -= lambda * grad;
      |               ~~~~~~~^~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:546:44:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  546 |             features::apply_angular_posthoc(result.H, static_cast<Scalar>(config.H.angular));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/features/angular.hpp:119:22:   required from 'void FactorNet::features::apply_angular_posthoc(FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  119 |     Factor -= lambda * grad;
      |               ~~~~~~~^~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:546:44:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  546 |             features::apply_angular_posthoc(result.H, static_cast<Scalar>(config.H.angular));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:26:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |             ~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:42:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:51:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:43:39:   required from 'struct Eigen::internal::traits<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   43 |   typedef typename MatrixType::Scalar InputScalar;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from 'struct Eigen::internal::traits<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   23 | template<typename T> struct traits<const T> : traits<T> {};
      |                             ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:29:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |             ~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:23:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> > >'
   23 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:29:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |             ~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:29:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |             ~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:264:56:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |             config_mut.H.target_gram = (T * T.transpose())
      |                                             ~~~~~~~~~~~^~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:264:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |             config_mut.H.target_gram = (T * T.transpose())
      |                                        ~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:265:38:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |             config_mut.H.target_gram = (T * T.transpose())
      |                                        ~~~~~~~~~~~~~~~~~~~
  265 |                                      / static_cast<Scalar>(T.cols());
      |                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/graph/fit.hpp:335:58:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  335 |             Scalar layer_loss = (eff - recon).squaredNorm()
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 0>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = float; RhsScalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int mr = 8; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = float]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 64>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 8, 8, 0, 8, 8>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 8, 8, 0, 8, 8>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<float, 0, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<float, 0, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<float, 0, int>; SrcXprType = Eigen::CwiseUnaryOp<scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >]'
   79 |   const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
      |                                             ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<float, 0, int>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >; Functor = Eigen::internal::assign_op<float, float>; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]'
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from 'Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >; Derived = Eigen::SparseMatrix<float, 0, int>]'
   37 |   internal::Assignment<Derived,OtherDerived,internal::assign_op<Scalar,typename OtherDerived::Scalar> >
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |           ::run(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1239 |     return Base::operator=(other.derived());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:148:56:   required from here
  148 |                 sparse_storage[i] = mapped.cast<float>();
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/lanczos.hpp:126:61:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  126 |         A_norm_sq -= static_cast<Scalar>(n) * mu.squaredNorm();
      |                                               ~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:75:41:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   75 |     DenseVector<Scalar> h = Xk.transpose() * Y.derived();
      |                             ~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:75:44:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   75 |     DenseVector<Scalar> h = Xk.transpose() * Y.derived();
      |                             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:76:33:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Y.derived().noalias() -= Xk * h;
      |                              ~~~^~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:75:44:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   75 |     DenseVector<Scalar> h = Xk.transpose() * Y.derived();
      |                             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:321:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  321 |             detail::orthog(V, F, j + 1);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:224:68:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |         Eigen::Map<const Eigen::Matrix<Scalar, Eigen::Dynamic, 1>> x_map(x, k);
      |                                                                    ^~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:264:55:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |                 ws.W_nnz_scaled.col(idx) = W_block.col(idx) * dw(idx);
      |                                            ~~~~~~~~~~~^~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:264:61:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |                 ws.W_nnz_scaled.col(idx) = W_block.col(idx) * dw(idx);
      |                                            ~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:65:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:50:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |                                  ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:295:45:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  295 |             ws.W_scratch.array() = W_T.array().rowwise() * ws.w_vec.transpose().array();
      |                                    ~~~~~~~~~^~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<float, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:295:78:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  295 |             ws.W_scratch.array() = W_T.array().rowwise() * ws.w_vec.transpose().array();
      |                                                            ~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:295:86:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  295 |             ws.W_scratch.array() = W_T.array().rowwise() * ws.w_vec.transpose().array();
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:295:58:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  295 |             ws.W_scratch.array() = W_T.array().rowwise() * ws.w_vec.transpose().array();
      |                                    ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:295:58:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  295 |             ws.W_scratch.array() = W_T.array().rowwise() * ws.w_vec.transpose().array();
      |                                    ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:315:39:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  315 |         ws.b_copy.noalias() -= ws.G_w * ws.x_old;
      |                                ~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:500:63:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  500 |                         static_cast<double>(B_panel.row(f).dot(H_panel.row(f)));
      |                                             ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Scalar = float]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/angular.hpp:99:26:   required from 'void FactorNet::features::apply_angular_posthoc(FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   99 |             F_hat.row(i) /= row_norms(i);
      |             ~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:546:44:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  546 |             features::apply_angular_posthoc(result.H, static_cast<Scalar>(config.H.angular));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:737:69:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  737 |                     result.d(i) = result.W.col(i).template lpNorm<1>();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:739:55:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  739 |                     result.d(i) = result.W.col(i).norm();
      |                                   ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<float, 0, int>, 1024>'
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<float, 0, int>, Eigen::Sparse>'
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:330:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  330 |         mask_T = config.mask->transpose();
      |                  ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:885:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  885 |             DenseVector<Scalar> h_rowsum = H.rowwise().sum();
      |                                            ~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:1386:67:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1386 |                 DenseVector<Scalar> wdh_j = W_Td_loss.transpose() * H.col(j);
      |                                             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = add_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = add_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = add_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  484 |       typename Dest::RowXpr dst_vec(dst.row(0));
      |                             ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 1, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 1, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<float, 1, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; SparseMatrixType = Eigen::SparseMatrix<float, 0, int>; DupFunctor = scalar_sum_op<float, float>]'
 1040 |   SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor,StorageIndex> trMat(mat.rows(),mat.cols());
      |                                                                  ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/builder.hpp:456:43:   required from 'void FactorNet::graph::GraphInstance<Scalar>::build_concatenated_if_shared(const FactorNet::graph::GraphDesc<Scalar>&) [with Scalar = float]'
  456 |             concat_sparse_.setFromTriplets(trips.begin(), trips.end());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/builder.hpp:321:9:   required from 'void FactorNet::graph::GraphInstance<Scalar>::build_impl(const FactorNet::graph::GraphDesc<Scalar>&) [with Scalar = float]'
  321 |         build_concatenated_if_shared(desc);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/builder.hpp:146:14:   required from 'static FactorNet::graph::GraphInstance<Scalar> FactorNet::graph::GraphInstance<Scalar>::build(const FactorNet::graph::GraphDesc<Scalar>&) [with Scalar = float]'
  146 |         inst.build_impl(desc);
      |         ~~~~~^~~~~~~~~~
RcppFunctions_graph.cpp:243:48:   required from here
  243 |     auto instance = GraphInstance<float>::build(gdesc);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:383:32:   required from 'void FactorNet::svd::spmv_forward_sparse(const SparseMat&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  383 |         result -= (*row_means) * sum_v;
      |                   ~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:695:28:   required from 'void FactorNet::svd::spmv_forward(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  695 |         spmv_forward_sparse(A, v, result, row_means, threads, ws, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:142:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  142 |         spmv_forward(A, v, out, mu_ptr, eff_threads, &ws, sd_ptr);
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:386:37:   required from 'void FactorNet::svd::spmv_forward_sparse(const SparseMat&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  386 |         result = result.cwiseProduct(*row_inv_sds);
      |                  ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:695:28:   required from 'void FactorNet::svd::spmv_forward(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  695 |         spmv_forward_sparse(A, v, result, row_means, threads, ws, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:142:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  142 |         spmv_forward(A, v, out, mu_ptr, eff_threads, &ws, sd_ptr);
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:37:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  679 |   RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
      |                      ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  691 |     m_scaledMatrix = matrix / scale;
      |                      ~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:32:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  697 |     m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
      |                    ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:60:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  697 |     m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:705:61:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  705 |   RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:765:62:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  765 |       if(computeU() && (a<RealScalar(0))) m_matrixU.col(i) = -m_matrixU.col(i);
      |                                                              ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:60:37:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   60 |     DenseMatrix<Scalar> FL = factor * laplacian;
      |                              ~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:32:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |                    ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:43:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/include/FactorNet/features/angular.hpp:93:42:   required from 'void FactorNet::features::apply_angular_posthoc(FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   93 |         row_norms(i) = Factor.row(i).norm();
      |                        ~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:546:44:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  546 |             features::apply_angular_posthoc(result.H, static_cast<Scalar>(config.H.angular));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<float, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<float, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<float, 0, int>, 1024>'
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<Eigen::SparseMatrix<float, 0, int>, Eigen::Sparse>'
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::SparseMatrix<float, 0, int> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:320:72:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  320 |         A_T = SparseMatrix<Scalar>(A.template cast<Scalar>()).transpose();
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:206:63:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  206 |                 auto result = nmf::nmf_fit_cv<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  207 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~                 
../inst/include/FactorNet/nmf/fit.hpp:314:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  314 |             result = detail::dispatch_cv(A, config, plan, W_init, H_init);
      |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1019:70:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1019 |                     DenseVector<Scalar> w_colsum = W_Td.colwise().sum().transpose();
      |                                                    ~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1019:82:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1019 |                     DenseVector<Scalar> w_colsum = W_Td.colwise().sum().transpose();
      |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1021:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1021 |                         sum_s_col(j) = static_cast<double>(W_Td.transpose().row(0).dot(H.col(j)));
      |                                                            ~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/features/bounds.hpp:41:19:   required from 'void FactorNet::features::apply_upper_bound(FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   41 |     X = X.cwiseMin(upper_bound);
      |         ~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:529:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  529 |             features::apply_upper_bound(H, config.H.upper_bound);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                             ~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
  171 |         buffer.setZero();
      |         ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 8, 8, 0, 8, 8>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 8, 8, 0, 8, 8>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]'
  171 |         buffer.setZero();
      |         ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Func = Eigen::internal::assign_op<float, float>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<float, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 1, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<float, 1, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<float, 1, int>; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; SparseMatrixType = Eigen::SparseMatrix<float, 0, int>; DupFunctor = scalar_sum_op<float, float>]'
 1063 |   mat = trMat;
      |   ~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/builder.hpp:456:43:   required from 'void FactorNet::graph::GraphInstance<Scalar>::build_concatenated_if_shared(const FactorNet::graph::GraphDesc<Scalar>&) [with Scalar = float]'
  456 |             concat_sparse_.setFromTriplets(trips.begin(), trips.end());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/builder.hpp:321:9:   required from 'void FactorNet::graph::GraphInstance<Scalar>::build_impl(const FactorNet::graph::GraphDesc<Scalar>&) [with Scalar = float]'
  321 |         build_concatenated_if_shared(desc);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/builder.hpp:146:14:   required from 'static FactorNet::graph::GraphInstance<Scalar> FactorNet::graph::GraphInstance<Scalar>::build(const FactorNet::graph::GraphDesc<Scalar>&) [with Scalar = float]'
  146 |         inst.build_impl(desc);
      |         ~~~~~^~~~~~~~~~
RcppFunctions_graph.cpp:243:48:   required from here
  243 |     auto instance = GraphInstance<float>::build(gdesc);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |             ~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 2, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 2, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 2, 2> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:240:56:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  240 |                 const Scalar recon_i = W_T.col(row).dot(x_map);
      |                                        ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:500:63:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  500 |                         static_cast<double>(B_panel.row(f).dot(H_panel.row(f)));
      |                                             ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:517:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  517 |                     primitives::fused_rhs_nnls_sparse(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  518 |                         A, W_T, G, H,
      |                         ~~~~~~~~~~~~~                 
  519 |                         config.cd_max_iter, config.cd_tol,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  520 |                         config.H.L1,
      |                         ~~~~~~~~~~~~                  
  521 |                         config.H.nonneg,
      |                         ~~~~~~~~~~~~~~~~              
  522 |                         eff_threads,
      |                         ~~~~~~~~~~~~                  
  523 |                         iter > 0,
      |                         ~~~~~~~~~                     
  524 |                         static_cast<Scalar>(0));
      |                         ~~~~~~~~~~~~~~~~~~~~~~~       
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/FactorNet/primitives/cpu/fused_nnls.hpp:210:48:   required from 'void FactorNet::primitives::fused_rhs_cholesky_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, bool, int, bool, Scalar) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  210 |             DenseVector<Scalar> x_j = llt.solve(b);
      |                                       ~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:527:58:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  527 |                     primitives::fused_rhs_cholesky_sparse(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  528 |                         A, W_T, G, H,
      |                         ~~~~~~~~~~~~~                     
  529 |                         config.solver_mode,
      |                         ~~~~~~~~~~~~~~~~~~~               
  530 |                         config.H.L1,
      |                         ~~~~~~~~~~~~                      
  531 |                         config.H.nonneg,
      |                         ~~~~~~~~~~~~~~~~                  
  532 |                         eff_threads,
      |                         ~~~~~~~~~~~~                      
  533 |                         iter > 0,
      |                         ~~~~~~~~~                         
  534 |                         static_cast<Scalar>(0));
      |                         ~~~~~~~~~~~~~~~~~~~~~~~           
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/fused_nnls.hpp:213:35:   required from 'void FactorNet::primitives::fused_rhs_cholesky_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, bool, int, bool, Scalar) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  213 |                 x_j = x_j.cwiseMax(Scalar(0));
      |                       ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:527:58:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  527 |                     primitives::fused_rhs_cholesky_sparse(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  528 |                         A, W_T, G, H,
      |                         ~~~~~~~~~~~~~                     
  529 |                         config.solver_mode,
      |                         ~~~~~~~~~~~~~~~~~~~               
  530 |                         config.H.L1,
      |                         ~~~~~~~~~~~~                      
  531 |                         config.H.nonneg,
      |                         ~~~~~~~~~~~~~~~~                  
  532 |                         eff_threads,
      |                         ~~~~~~~~~~~~                      
  533 |                         iter > 0,
      |                         ~~~~~~~~~                         
  534 |                         static_cast<Scalar>(0));
      |                         ~~~~~~~~~~~~~~~~~~~~~~~           
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/fused_nnls.hpp:216:45:   required from 'void FactorNet::primitives::fused_rhs_cholesky_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, bool, int, bool, Scalar) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  216 |             if (do_upper) x_j = x_j.cwiseMin(upper_bound);
      |                                 ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:527:58:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  527 |                     primitives::fused_rhs_cholesky_sparse(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  528 |                         A, W_T, G, H,
      |                         ~~~~~~~~~~~~~                     
  529 |                         config.solver_mode,
      |                         ~~~~~~~~~~~~~~~~~~~               
  530 |                         config.H.L1,
      |                         ~~~~~~~~~~~~                      
  531 |                         config.H.nonneg,
      |                         ~~~~~~~~~~~~~~~~                  
  532 |                         eff_threads,
      |                         ~~~~~~~~~~~~                      
  533 |                         iter > 0,
      |                         ~~~~~~~~~                         
  534 |                         static_cast<Scalar>(0));
      |                         ~~~~~~~~~~~~~~~~~~~~~~~           
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:563:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  563 |                     mask_detail::masked_nnls_h(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  564 |                         A, W_T, G, H, *config.mask, config, eff_threads, iter > 0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:563:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  563 |                     mask_detail::masked_nnls_h(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  564 |                         A, W_T, G, H, *config.mask, config, eff_threads, iter > 0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:313:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h: In instantiation of 'void Eigen::internal::BlockedInPlaceTranspose(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; long long int Alignment = 16]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:308:89:   required from 'static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; bool MatchPacketSize = false]'
  308 |           BlockedInPlaceTranspose<MatrixType,internal::evaluator<MatrixType>::Alignment>(m);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:348:53:   required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Matrix<float, -1, -1>]'
  348 |   internal::inplace_transpose_selector<Derived>::run(derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:183:44:   required from 'FactorNet::DenseMatrix<Scalar> FactorNet::graph::detail::effective_input(int, const std::vector<FactorNet::graph::Node<Scalar>*>&, const std::vector<LayerState<Scalar> >&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  183 |                 Z_oriented.transposeInPlace();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/graph/fit.hpp:285:36:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  285 |             detail::effective_input(i, layers, states, data_dense);
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:272:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  272 |       PacketBlock<Packet> A;
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:272:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:280:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  280 |         PacketBlock<Packet> B;
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:280:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:308:89:   required from 'static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; bool MatchPacketSize = false]'
  308 |           BlockedInPlaceTranspose<MatrixType,internal::evaluator<MatrixType>::Alignment>(m);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:348:53:   required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Matrix<float, -1, -1>]'
  348 |   internal::inplace_transpose_selector<Derived>::run(derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:183:44:   required from 'FactorNet::DenseMatrix<Scalar> FactorNet::graph::detail::effective_input(int, const std::vector<FactorNet::graph::Node<Scalar>*>&, const std::vector<LayerState<Scalar> >&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  183 |                 Z_oriented.transposeInPlace();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/graph/fit.hpp:285:36:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  285 |             detail::effective_input(i, layers, states, data_dense);
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h: In instantiation of 'void Eigen::internal::BlockedInPlaceTranspose(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; long long int Alignment = 0]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:310:56:   required from 'static void Eigen::internal::inplace_transpose_selector<MatrixType, false, MatchPacketSize>::run(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; bool MatchPacketSize = false]'
  310 |           BlockedInPlaceTranspose<MatrixType,Unaligned>(m);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:348:53:   required from 'void Eigen::DenseBase<Derived>::transposeInPlace() [with Derived = Eigen::Matrix<float, -1, -1>]'
  348 |   internal::inplace_transpose_selector<Derived>::run(derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:183:44:   required from 'FactorNet::DenseMatrix<Scalar> FactorNet::graph::detail::effective_input(int, const std::vector<FactorNet::graph::Node<Scalar>*>&, const std::vector<LayerState<Scalar> >&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  183 |                 Z_oriented.transposeInPlace();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/graph/fit.hpp:285:36:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  285 |             detail::effective_input(i, layers, states, data_dense);
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:272:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  272 |       PacketBlock<Packet> A;
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:272:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:280:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  280 |         PacketBlock<Packet> B;
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:280:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:542:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  542 |                         ? H.row(i).template lpNorm<1>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:887:68:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  887 |                 sum_s_d(i) = static_cast<double>(W_Td_th.col(i).dot(h_rowsum));
      |                                                  ~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:893:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  893 |                         sum_s_d(i) -= static_cast<double>(W_Td_th.col(i).dot(H.col(j)));
      |                                                           ~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:808:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  808 |                         mask_detail::masked_nnls_w(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  809 |                             A, H, G, W_T, mask_T_storage, config, eff_threads, iter > 0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:808:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  808 |                         mask_detail::masked_nnls_w(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  809 |                             A, H, G, W_T, mask_T_storage, config, eff_threads, iter > 0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/svd/spmv.hpp:269:43:   required from 'void FactorNet::svd::spmv_transpose_sparse(const SparseMat&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  269 |         Scalar correction = row_means->dot(*u_eff);
      |                             ~~~~~~~~~~~~~~^~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:679:30:   required from 'void FactorNet::svd::spmv_transpose(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  679 |         spmv_transpose_sparse(A, u, result, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:146:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  146 |         spmv_transpose(A, u, out, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >'
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, 2, 2>, 1, 2, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:76:27:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Y.derived().noalias() -= Xk * h;
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/L21.hpp:59:45:   required from 'void FactorNet::features::apply_L21(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   59 |         Scalar row_norm = factor.row(i).norm();
      |                           ~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/variant_helpers.hpp:165:28:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  165 |         features::apply_L21(G, Factor, fc.L21);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<float, -1, -1> >'
   92 |             >::type DiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<float, -1, -1> >'
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:142:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:418:62:   required from 'void FactorNet::primitives::detail::irls_nnls_col_dense(const DenseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, const Scalar*, const Scalar*) [with Scalar = float; DenseMatType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  418 |         G_w.noalias() = DenseMatrix<Scalar>(W_weighted.matrix()) * W_T.transpose();
      |                                             ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:550:36:   required from 'void FactorNet::primitives::nnls_batch_irls_dense(const DenseMatType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, int, const Scalar*, const Scalar*) [with Scalar = float; DenseMatType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |         detail::irls_nnls_col_dense(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  551 |             A, W_T, j, H.col(j).data(), G_base, loss,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  552 |             L1, L2, nonneg, cd_maxit, cd_tol,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  553 |             irls_max_iter, irls_tol, theta_per_row, theta_per_col);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:591:58:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  591 |                         primitives::nnls_batch_irls_dense(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  592 |                             A_imputed, W_T, G, H, active_loss,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  593 |                             config.H.L1, config.H.L2,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~     
  594 |                             config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~              
  595 |                             config.cd_max_iter, config.cd_tol,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  596 |                             config.irls_max_iter, config.irls_tol,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  597 |                             config.threads, irls_theta_ptr, irls_theta_col_ptr);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:421:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:591:58:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  591 |                         primitives::nnls_batch_irls_dense(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  592 |                             A_imputed, W_T, G, H, active_loss,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  593 |                             config.H.L1, config.H.L2,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~     
  594 |                             config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~              
  595 |                             config.cd_max_iter, config.cd_tol,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  596 |                             config.irls_max_iter, config.irls_tol,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  597 |                             config.threads, irls_theta_ptr, irls_theta_col_ptr);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:421:76:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:591:58:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  591 |                         primitives::nnls_batch_irls_dense(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  592 |                             A_imputed, W_T, G, H, active_loss,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  593 |                             config.H.L1, config.H.L2,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~     
  594 |                             config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~              
  595 |                             config.cd_max_iter, config.cd_tol,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  596 |                             config.irls_max_iter, config.irls_tol,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  597 |                             config.threads, irls_theta_ptr, irls_theta_col_ptr);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1021:87:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1021 |                         sum_s_col(j) = static_cast<double>(W_Td.transpose().row(0).dot(H.col(j)));
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1021:87:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1021 |                         sum_s_col(j) = static_cast<double>(W_Td.transpose().row(0).dot(H.col(j)));
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/cv_detail.hpp:153:51:   required from 'void FactorNet::nmf::detail::irls_solve_col_cv(const MatrixType&, FactorNet::nmf::DenseMatrix<Scalar>&, int, FactorNet::nmf::DenseVector<Scalar>&, const std::vector<int>&, bool, const FactorNet::LossConfig<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::nmf::DenseMatrix<Scalar>&, int) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  153 |             Scalar predicted = W_T.col(te.row).dot(x);
      |                                ~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:450:50:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  450 |                         detail::irls_solve_col_cv(A_imputed, W_T, j, x_local, gram_rows,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |                             config.mask_zeros, config.loss, config, H, m);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/data_accessor.hpp:149:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:563:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  563 |                     mask_detail::masked_nnls_h(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  564 |                         A, W_T, G, H, *config.mask, config, eff_threads, iter > 0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/graph/fit.hpp:335:58:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  335 |             Scalar layer_loss = (eff - recon).squaredNorm()
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/lanczos.hpp:126:61:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  126 |         A_norm_sq -= static_cast<Scalar>(n) * mu.squaredNorm();
      |                                               ~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  169 |     this->col(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<float, -1, -1>; bool Big = false]'
  846 |     return m = Derived::Identity(m.rows(), m.cols());
      |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:698:45:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  698 |     if(m_computeFullU) m_matrixU.setIdentity(m_rows,m_rows);
      |                        ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>; VectorY = Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>; OtherScalar = float]'
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = float; Derived = Eigen::Matrix<float, 2, 2>; Eigen::Index = long long int]'
  299 |   internal::apply_rotation_in_the_plane(x, y, j);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; RealScalar = float; Index = long long int]'
   46 |   m.applyOnTheLeft(0,1,rot1);
      |   ~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<float, -1, -1>; Functor = assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<float, -1, -1>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<float, -1, -1>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<float, -1, -1>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<float, -1, -1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<float, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:88:38:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   88 |         W_T.bottomRows(k - k_actual) = fill_W;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = float; RhsScalar = float; Index = long long int; int Mode = 1; bool Conjugate = false]'
  125 |             Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
      |                                                           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = float; RhsScalar = float; Index = long long int; int Mode = 2; bool Conjugate = false]'
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:737:69:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  737 |                     result.d(i) = result.W.col(i).template lpNorm<1>();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:739:55:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  739 |                     result.d(i) = result.W.col(i).norm();
      |                                   ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1702:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1702 |                     loss_val = detail::explicit_loss_sparse(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1703 |                         A, W_Td_loss, H, config.loss, config.threads,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1704 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/primitives.hpp:131:31:   required from 'Scalar FactorNet::primitives::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  131 |     Scalar trBtH = (B.array() * H.array()).sum();
      |                    ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/loss.hpp:52:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1762:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1762 |                 loss_val = detail::gram_trick_loss(
      |                            ~~~~~~~~~~~~~~~~~~~~~~~^
 1763 |                     trAtA, G_loss, B_loss, H);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~      
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/primitives.hpp:133:32:   required from 'Scalar FactorNet::primitives::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  133 |     Scalar trGHHt = (H.array() * GH.array()).sum();
      |                     ~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/loss.hpp:52:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1762:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1762 |                 loss_val = detail::gram_trick_loss(
      |                            ~~~~~~~~~~~~~~~~~~~~~~~^
 1763 |                     trAtA, G_loss, B_loss, H);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~      
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:154:35:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |         detail::initialize_lanczos(W_T, H, d, A, k, m, n,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  155 |                                    config.seed, config.threads, config.verbose);
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:148:28:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::compute_row_means_dense(FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  148 |     return A.rowwise().mean();
      |            ~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/spmv.hpp:745:47:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:154:35:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |         detail::initialize_lanczos(W_T, H, d, A, k, m, n,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  155 |                                    config.seed, config.threads, config.verbose);
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:418:49:   required from 'void FactorNet::svd::spmv_forward_dense(const DenseMatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with DenseMatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  418 |                     local.noalias() += A.col(j) * vj;
      |                                        ~~~~~~~~~^~~~
../inst/include/FactorNet/svd/spmv.hpp:697:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:154:35:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |         detail::initialize_lanczos(W_T, H, d, A, k, m, n,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  155 |                                    config.seed, config.threads, config.verbose);
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<float, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<float, -1, 1>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<float, -1, 1> >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::internal::traits<T>::Scalar = float]'
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:959:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  959 |                 Scalar mean_theta = theta_vec.mean();
      |                                     ~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
  104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
  141 |     return func(0,rows, 0,cols);
      |            ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]'
  104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Dest = Eigen::Matrix<float, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long long int, general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>, Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long long int]'
  141 |     return func(0,rows, 0,cols);
      |            ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, 1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |             ~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; Func = Eigen::internal::scalar_max_op<float, float, 1>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<float, float, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:71:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  679 |   RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<float, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<float, -1, 1>, -1>]'
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<float, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<float, -1, 1>, -1>]'
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:296:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  296 |             ws.G_w.noalias() = ws.W_scratch * W_T.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:296:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  296 |             ws.G_w.noalias() = ws.W_scratch * W_T.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:296:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  296 |             ws.G_w.noalias() = ws.W_scratch * W_T.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:296:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  296 |             ws.G_w.noalias() = ws.W_scratch * W_T.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
  155 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Side = 1; int Mode = 1]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:158:21:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  158 |     llt.solveInPlace(X);
      |     ~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:472:63:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  472 |                     FactorNet::primitives::cholesky_clip_batch(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  473 |                         G_solve, B_panel, H_panel,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  474 |                         config.H.nonneg, config.threads, false);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 1>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  162 |             pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Side = 1; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:158:21:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  158 |     llt.solveInPlace(X);
      |     ~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:472:63:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  472 |                     FactorNet::primitives::cholesky_clip_batch(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  473 |                         G_solve, B_panel, H_panel,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  474 |                         config.H.nonneg, config.threads, false);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1021:87:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1021 |                         sum_s_col(j) = static_cast<double>(W_Td.transpose().row(0).dot(H.col(j)));
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]'
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Functor = assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:324:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  324 |     result.d = svd_b.singularValues().head(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:76:27:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Y.derived().noalias() -= Xk * h;
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:240:56:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  240 |                 const Scalar recon_i = W_T.col(row).dot(x_map);
      |                                        ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:264:42:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |                 ws.W_nnz_scaled.col(idx) = W_block.col(idx) * dw(idx);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:32:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:32:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:296:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  296 |             ws.G_w.noalias() = ws.W_scratch * W_T.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<float, long long int, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, 4, 1, false, true>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  233 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
      |                                                                                     ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/primitives.hpp:113:29:   required from 'Scalar FactorNet::primitives::trace_AtA(const MatrixType&) [with Resource = CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>]'
  113 |         return A.squaredNorm();
      |                ~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_cv.hpp:351:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  351 |     const Scalar trAtA = primitives::trace_AtA<Resource, Scalar, MatrixType>(A);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:887:68:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  887 |                 sum_s_d(i) = static_cast<double>(W_Td_th.col(i).dot(h_rowsum));
      |                                                  ~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:893:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  893 |                         sum_s_d(i) -= static_cast<double>(W_Td_th.col(i).dot(H.col(j)));
      |                                                           ~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Func = Eigen::internal::assign_op<float, float>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<float, -1, 1>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:269:43:   required from 'void FactorNet::svd::spmv_transpose_sparse(const SparseMat&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  269 |         Scalar correction = row_means->dot(*u_eff);
      |                             ~~~~~~~~~~~~~~^~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:679:30:   required from 'void FactorNet::svd::spmv_transpose(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  679 |         spmv_transpose_sparse(A, u, result, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:146:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  146 |         spmv_transpose(A, u, out, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |             ~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >'
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>]'
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  374 |   this->visit(maxVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  501 |       return maxCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  521 |     RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<float, -1, -1>; LhsT = Eigen::Matrix<float, -1, -1>; RhsT = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Func = Eigen::internal::add_assign_op<float, float>; Scalar = float; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >]'
  469 |     call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
      |                                                     ~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  319 |             pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  320 |                            actualPanelWidth, actual_mc,
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  321 |                            actual_kc, j2);
      |                            ~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1021:87:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1021 |                         sum_s_col(j) = static_cast<double>(W_Td.transpose().row(0).dot(H.col(j)));
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/cv_detail.hpp:153:51:   required from 'void FactorNet::nmf::detail::irls_solve_col_cv(const MatrixType&, FactorNet::nmf::DenseMatrix<Scalar>&, int, FactorNet::nmf::DenseVector<Scalar>&, const std::vector<int>&, bool, const FactorNet::LossConfig<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::nmf::DenseMatrix<Scalar>&, int) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  153 |             Scalar predicted = W_T.col(te.row).dot(x);
      |                                ~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:450:50:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  450 |                         detail::irls_solve_col_cv(A_imputed, W_T, j, x_local, gram_rows,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |                             config.mask_zeros, config.loss, config, H, m);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  366 |       dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = float]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >; Functor = assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:18:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  697 |     m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:76:27:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Y.derived().noalias() -= Xk * h;
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:76:27:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Y.derived().noalias() -= Xk * h;
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:321:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  321 |             detail::orthog(V, F, j + 1);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = float]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:32:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:32:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:296:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  296 |             ws.G_w.noalias() = ws.W_scratch * W_T.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:296:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  296 |             ws.G_w.noalias() = ws.W_scratch * W_T.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:315:29:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  315 |         ws.b_copy.noalias() -= ws.G_w * ws.x_old;
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = float; RhsScalar = float; Index = long long int; int Mode = 2; bool Conjugate = false]'
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1702:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1702 |                     loss_val = detail::explicit_loss_sparse(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1703 |                         A, W_Td_loss, H, config.loss, config.threads,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1704 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/primitives.hpp:131:47:   required from 'Scalar FactorNet::primitives::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  131 |     Scalar trBtH = (B.array() * H.array()).sum();
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/cpu/loss.hpp:52:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1762:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1762 |                 loss_val = detail::gram_trick_loss(
      |                            ~~~~~~~~~~~~~~~~~~~~~~~^
 1763 |                     trAtA, G_loss, B_loss, H);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~      
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/primitives.hpp:133:49:   required from 'Scalar FactorNet::primitives::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  133 |     Scalar trGHHt = (H.array() * GH.array()).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/cpu/loss.hpp:52:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1762:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1762 |                 loss_val = detail::gram_trick_loss(
      |                            ~~~~~~~~~~~~~~~~~~~~~~~^
 1763 |                     trAtA, G_loss, B_loss, H);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~      
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:1386:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1386 |                 DenseVector<Scalar> wdh_j = W_Td_loss.transpose() * H.col(j);
      |                                     ^~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:808:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  808 |                         mask_detail::masked_nnls_w(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  809 |                             A, H, G, W_T, mask_T_storage, config, eff_threads, iter > 0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |             ~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<float, 1, -1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<float, 1, -1>; Func = Eigen::internal::scalar_max_op<float, float, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<float, 1, -1> >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<float, float, 0>; Derived = Eigen::Matrix<float, 1, -1>; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<float, 1, -1>; typename Eigen::internal::traits<T>::Scalar = float]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<float, 1, -1>; typename Eigen::internal::traits<T>::Scalar = float]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  511 |   RealScalar threshold_helper =  numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows);
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = div_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = Eigen::internal::div_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; Scalar = float]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = div_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = Eigen::internal::div_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = float]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = float]'
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = float; Derived = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]'
  315 |   internal::apply_rotation_in_the_plane(x, y, j.transpose());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = float; Scalar = float; Index = long long int]'
  895 |       q.applyOnTheRight(k,k+1,rot);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagType = Eigen::Matrix<float, -1, 1>; SubDiagType = Eigen::Matrix<float, -1, 1>; Eigen::Index = long long int]'
  548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, 4, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:885:33:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  885 |             DenseVector<Scalar> h_rowsum = H.rowwise().sum();
      |                                 ^~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(4) float; ArgType = Eigen::Matrix<float, -1, -1>; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(4) float; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >; Functor = Eigen::internal::assign_op<float, float>; int Version = 0; Eigen::Index = long long int]'
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from 'static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >, Eigen::internal::assign_op<float, float>, 0>]'
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, member_sum<float, float>, 1>; Functor = assign_op<float, float>]'
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:885:33:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  885 |             DenseVector<Scalar> h_rowsum = H.rowwise().sum();
      |                                 ^~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:76:27:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Y.derived().noalias() -= Xk * h;
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:32:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:296:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  296 |             ws.G_w.noalias() = ws.W_scratch * W_T.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(4) float; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1430:58:   required from 'PacketType Eigen::internal::evaluator_wrapper_base<XprType>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(4) float; XprType = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; Eigen::Index = long long int]'
 1430 |     return m_argImpl.template packet<LoadMode,PacketType>(index);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(4) float; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> > >; Functor = Eigen::internal::assign_op<float, float>; int Version = 0; Eigen::Index = long long int]'
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from 'static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >, Eigen::internal::evaluator<Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> > >, Eigen::internal::assign_op<float, float>, 0>]'
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |         ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(4) float; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:603:81:   required from 'PacketType Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(4) float; UnaryOp = Eigen::internal::scalar_sqrt_op<float>; ArgType = const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = float; Eigen::Index = long long int]'
  603 |     return m_d.func().packetOp(m_d.argImpl.template packet<LoadMode, PacketType>(index));
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(4) float; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> > >; Functor = Eigen::internal::assign_op<float, float>; int Version = 0; Eigen::Index = long long int]'
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from 'static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> > >, Eigen::internal::assign_op<float, float>, 0>]'
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |         ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:517:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  517 |                     primitives::fused_rhs_nnls_sparse(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  518 |                         A, W_T, G, H,
      |                         ~~~~~~~~~~~~~                 
  519 |                         config.cd_max_iter, config.cd_tol,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  520 |                         config.H.L1,
      |                         ~~~~~~~~~~~~                  
  521 |                         config.H.nonneg,
      |                         ~~~~~~~~~~~~~~~~              
  522 |                         eff_threads,
      |                         ~~~~~~~~~~~~                  
  523 |                         iter > 0,
      |                         ~~~~~~~~~                     
  524 |                         static_cast<Scalar>(0));
      |                         ~~~~~~~~~~~~~~~~~~~~~~~       
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = float; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]'
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = float; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]'
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = float; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]'
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:1386:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1386 |                 DenseVector<Scalar> wdh_j = W_Td_loss.transpose() * H.col(j);
      |                                     ^~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:1386:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1386 |                 DenseVector<Scalar> wdh_j = W_Td_loss.transpose() * H.col(j);
      |                                     ^~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:808:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  808 |                         mask_detail::masked_nnls_w(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  809 |                             A, H, G, W_T, mask_T_storage, config, eff_threads, iter > 0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:776:49:   required from 'SEXPREC* Rcpp::internal::wrap_dispatch_eigen(const T&, Rcpp::traits::true_type) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SEXP = SEXPREC*; Rcpp::traits::true_type = Rcpp::traits::integral_constant<bool, true>]'
  776 |             return ::Rcpp::RcppEigen::eigen_wrap(object);
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:787:39:   required from 'SEXPREC* Rcpp::internal::wrap_dispatch_unknown_importable(const T&, Rcpp::traits::false_type) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SEXP = SEXPREC*; Rcpp::traits::false_type = Rcpp::traits::integral_constant<bool, false>]'
  787 |             return wrap_dispatch_eigen(object, typename traits::is_eigen_base<T>::type());
      |                    ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:807:52:   required from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_unknown_tag) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SEXP = SEXPREC*]'
  807 |             return wrap_dispatch_unknown_importable(object, typename ::Rcpp::traits::is_importer<T>::type());
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap_end.h:30:38:   required from 'SEXPREC* Rcpp::wrap(const T&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SEXP = SEXPREC*]'
   30 |           return internal::wrap_dispatch( object, typename ::Rcpp::traits::wrap_type_traits<T>::wrap_category() ) ;
      |                  ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/vector/proxy.h:156:28:   required from 'Rcpp::internal::generic_name_proxy<RTYPE, StoragePolicy>& Rcpp::internal::generic_name_proxy<RTYPE, StoragePolicy>::operator=(const T&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]'
  156 |                     set(Shield<SEXP>(wrap(rhs)));
      |                                      ~~~~^~~~~
RcppFunctions_graph.cpp:339:68:   required from here
  339 |                 splits[kv.first] = W_full.middleRows(row_offset, nr);
      |                                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]'
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |         ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = float]'
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 256>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 16, 16, 0, 16, 16>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >'
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:321:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  321 |             detail::orthog(V, F, j + 1);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from 'static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >; DenseRhsType = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; DenseResType = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> > >; Res = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = float; Eigen::Index = long long int]'
  145 |       res_i += (alpha*it.value()) * rhs.row(it.index());
      |                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/features/graph_reg.hpp:60:25:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   60 |     DenseMatrix<Scalar> FL = factor * laplacian;
      |                         ^~
../inst/include/FactorNet/nmf/variant_helpers.hpp:162:34:   required from 'void FactorNet::nmf::variant::apply_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         features::apply_graph_reg(G, *fc.graph, Factor, fc.graph_lambda);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:226:25:   required from 'void FactorNet::nmf::variant::apply_h_tier2_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  226 |     apply_tier2_features(G, H, config.H);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:202:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |         variant::apply_h_tier2_features(G_W, result.H, config);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:32:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:808:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  808 |                         mask_detail::masked_nnls_w(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  809 |                             A, H, G, W_T, mask_T_storage, config, eff_threads, iter > 0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/graph/fit.hpp:334:33:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  334 |             DenseMatrix<Scalar> recon = s.W * s.d.asDiagonal() * s.H;
      |                                 ^~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = float]'
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename Dest::Scalar = float]'
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename Dest::Scalar = float]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = float; bool ConjLhs = false; RhsScalar = float; bool ConjRhs = false; int Version = 0; ResScalar = float]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 16, 16, 0, 16, 16>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 16, 16, 0, 16, 16>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:319:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  319 |                             FactorNet::primitives::detail::cholesky_clip_col(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  320 |                                 G_loc, b_loc.data(), x_loc.data(), k,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~        
  321 |                                 static_cast<Scalar>(config.H.L1), static_cast<Scalar>(0),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  322 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  323 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
  324 |                                 static_cast<Scalar>(config.H.upper_bound));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false>; ResultType = float; Scalar = float]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Scalar = float; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; ResultType = float; Scalar = float]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Scalar = float; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |         ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:1386:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1386 |                 DenseVector<Scalar> wdh_j = W_Td_loss.transpose() * H.col(j);
      |                                     ^~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 16, 16, 1, 16, 16>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 16, 16, 1, 16, 16>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 1, 0, 16, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 1, 0, 16, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 1, 0, 16, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 16, 1, 0, 16, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 16, 1, 0, 16, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 1, 0, 16, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:337:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = float; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = float]'
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = float]'
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = float]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResultType = float; Scalar = float]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<float, -1, -1>; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 0; Scalar = float; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:331:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1019:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1019 |                     DenseVector<Scalar> w_colsum = W_Td.colwise().sum().transpose();
      |                                         ^~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<float, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:166:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = float; Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68:   required from 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = float; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]'
   89 |     Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = float]'
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = float]'
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = float]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:224:50:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_single_layer(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |     auto nmf_result = FactorNet::nmf::nmf<Scalar>(data, cfg, W_init, nullptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:407:32:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  407 |         return fit_single_layer(graph, data, W_init);
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = float; bool ConjLhs = false; RhsScalar = float; bool ConjRhs = false; int Version = 0; ResScalar = float]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = float]'
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<float, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<float, float>; int Version = 1; Eigen::Index = long long int]'
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:294:55:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit_deep(const FactorGraph<Scalar>&, const MatrixType&) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>]'
  294 |         auto init_result = FactorNet::nmf::nmf<Scalar>(input_mat, cfg, nullptr, nullptr);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/graph/fit.hpp:409:24:   required from 'FactorNet::graph::GraphResult<Scalar> FactorNet::graph::fit(const FactorGraph<Scalar>&, const MatrixType&, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  409 |         return fit_deep(graph, data);
      |                ~~~~~~~~^~~~~~~~~~~~~
RcppFunctions_graph.cpp:275:25:   required from here
  275 |             result = fit(graph, instance.concatenated_sparse(), w_init_ptr);
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_graph.cpp:255:56:   required from here
  255 |         auto nmf_result = nmf::nmf_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  256 |             instance.streaming_path(), scfg);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++ -std=gnu++20  -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp -DEIGEN_INITIALIZE_MATRICES_BY_ZERO -DEIGEN_NO_DEBUG -DSPARSEPRESS_USE_R -DFACTORNET_USE_R -Wa,-mbig-obj   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c RcppFunctions_nmf.cpp -o RcppFunctions_nmf.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from RcppFunctions_common.h:7,
                 from RcppFunctions_nmf.cpp:7:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet.h:59:57:   required from here
   59 | inline Eigen::VectorXd getColumn(const SpMat& A, int col) {
      |                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet.h:59:57:   required from here
   59 | inline Eigen::VectorXd getColumn(const SpMat& A, int col) {
      |                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, 0>'
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from 'class Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >'
  255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_common.h:18:54:   required from here
   18 | inline MappedSpMat mapSparseMatrix(const Rcpp::S4& s4) {
      |                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
RcppFunctions_common.h:45:43:   required from here
   45 |         gd.degrees = Eigen::VectorXd::Zero(gd.matrix.cols());
      |                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:40:37:   required from here
   40 |     const int k = static_cast<int>(H.rows());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:48:51:   required from here
   48 |     G.triangularView<Eigen::Upper>() = G.transpose();
      |                                        ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:15:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |     ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:23:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |     ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, -1, -1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:61:37:   required from here
   61 |     const int k = static_cast<int>(H.rows());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:61:37:   required from here
   61 |     const int k = static_cast<int>(H.rows());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<float, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:65:51:   required from here
   65 |     G.triangularView<Eigen::Upper>() = G.transpose();
      |                                        ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:15:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |     ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:23:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |     ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<float, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:28:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:181:43:   required from here
  181 |         detail::cd_nnls_col_fixed(G, B.col(j).data(), X.col(j).data(),
      |                                      ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:221:43:   required from here
  221 |         detail::cd_nnls_col_fixed(G, B.col(j).data(), X.col(j).data(),
      |                                      ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Sparse>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >::CastXpr<NewType>::Type Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
RcppFunctions_nmf.cpp:225:62:   required from here
  225 |         Eigen::SparseMatrix<float> A_f = A_mapped.cast<float>();
      |                                          ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
RcppFunctions_nmf.cpp:229:46:   required from here
  229 |         Eigen::MatrixXf A_f = A_d.cast<float>();
      |                               ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::SparseMatrix<double, 0, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::CastXpr<NewType>::Type Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
RcppFunctions_nmf.cpp:397:44:   required from here
  397 |         graph_W_f = gd_W.matrix.cast<float>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/core/result.hpp:78:25:   required from 'struct FactorNet::NMFResult<float>'
   78 |     DenseVector<Scalar> d;   ///< k    (diagonal scaling)
      |                         ^
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<float, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::CastXpr<double>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
RcppFunctions_nmf.cpp:581:58:   required from here
  581 |         Rcpp::Named("w") = result.W.template cast<double>(),
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<float, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >::CastXpr<double>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
RcppFunctions_nmf.cpp:582:58:   required from here
  582 |         Rcpp::Named("d") = result.d.template cast<double>(),
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:46:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:46:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<float, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<float, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<float, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<float, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >; Scalar = float]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:45:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >; Scalar = float]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:45:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:53:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                                ~~~~~^~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:53:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                                ~~~~~^~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
  292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >, Eigen::internal::IteratorBased, float>'
   27 |       CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                               ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
RcppFunctions_nmf.cpp:225:63:   required from here
  225 |         Eigen::SparseMatrix<float> A_f = A_mapped.cast<float>();
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double, 0, int> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >, Eigen::internal::IteratorBased, float>'
   27 |       CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                               ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
RcppFunctions_nmf.cpp:397:45:   required from here
  397 |         graph_W_f = gd_W.matrix.cast<float>();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:264:56:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |             config_mut.H.target_gram = (T * T.transpose())
      |                                             ~~~~~~~~~~~^~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:264:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |             config_mut.H.target_gram = (T * T.transpose())
      |                                        ~~~^~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:265:38:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |             config_mut.H.target_gram = (T * T.transpose())
      |                                        ~~~~~~~~~~~~~~~~~~~
  265 |                                      / static_cast<Scalar>(T.cols());
      |                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:265:38:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |             config_mut.H.target_gram = (T * T.transpose())
      |                                        ~~~~~~~~~~~~~~~~~~~
  265 |                                      / static_cast<Scalar>(T.cols());
      |                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:42:14:   required from here
   42 |     G.setZero();
      |     ~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, -1, -1>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:63:14:   required from here
   63 |     G.setZero();
      |     ~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:143:38:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  143 |         d = DenseVector<Scalar>::Ones(k);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:178:23:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  178 |         nnz = (A.array() != Scalar(0)).count();
      |                ~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<float, float, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<float, float, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<float, float, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:178:26:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  178 |         nnz = (A.array() != Scalar(0)).count();
      |               ~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<float, 0, int>, 1024>'
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<float, 0, int>, Eigen::Sparse>'
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:330:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  330 |         mask_T = config.mask->transpose();
      |                  ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:542:32:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  542 |                         ? H.row(i).template lpNorm<1>()
      |                           ~~~~~^~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:647:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  647 |                                 b_full_W.noalias() += val * H.col(idx);
      |                                                       ~~~~^~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:698:57:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  698 |                         auto H_sub = H_test_thr.leftCols(n_test);
      |                                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:885:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  885 |             DenseVector<Scalar> h_rowsum = H.rowwise().sum();
      |                                            ~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:1386:67:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1386 |                 DenseVector<Scalar> wdh_j = W_Td_loss.transpose() * H.col(j);
      |                                             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:88:23:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   88 |         W_T.bottomRows(k - k_actual) = fill_W;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, -1, 1, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:155:45:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  155 |         result.H = result.W.transpose().eval();
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:33:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |                             ~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:469:38:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  469 |                         B_panel.array() -= static_cast<Scalar>(config.H.L1);
      |                         ~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   91 |     gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                             ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<float, long long int, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   91 |     gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                             ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<float, float, long long int, Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>, 8, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<float, float, long long int, Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>, 8, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::SparseMatrix<float, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, Eigen::Sparse>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::SparseMatrix<float, 0, int> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::SparseMatrix<float, 0, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::SparseMatrix<float, 0, int> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >::CastXpr<NewType>::Type Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:320:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  320 |         A_T = SparseMatrix<Scalar>(A.template cast<Scalar>()).transpose();
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:206:63:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  206 |                 auto result = nmf::nmf_fit_cv<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  207 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~                 
../inst/include/FactorNet/nmf/fit.hpp:314:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  314 |             result = detail::dispatch_cv(A, config, plan, W_init, H_init);
      |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<float, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<float, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<float, 0, int>, 1024>'
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<Eigen::SparseMatrix<float, 0, int>, Eigen::Sparse>'
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::SparseMatrix<float, 0, int> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:320:72:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  320 |         A_T = SparseMatrix<Scalar>(A.template cast<Scalar>()).transpose();
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:206:63:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  206 |                 auto result = nmf::nmf_fit_cv<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  207 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~                 
../inst/include/FactorNet/nmf/fit.hpp:314:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  314 |             result = detail::dispatch_cv(A, config, plan, W_init, H_init);
      |                      ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1019:70:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1019 |                     DenseVector<Scalar> w_colsum = W_Td.colwise().sum().transpose();
      |                                                    ~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1019:82:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1019 |                     DenseVector<Scalar> w_colsum = W_Td.colwise().sum().transpose();
      |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1021:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1021 |                         sum_s_col(j) = static_cast<double>(W_Td.transpose().row(0).dot(H.col(j)));
      |                                                            ~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<float, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<float, -1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<float, -1, -1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/ArrayCwiseBinaryOps.h:233:1:   required from 'const Eigen::ArrayBase<Derived>::CmpNEQReturnType Eigen::ArrayBase<Derived>::operator!=(const Scalar&) const [with Derived = Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >; CmpNEQReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<float, float, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> > >; Scalar = float]'
  145 |   return this->OP(Derived::PlainObject::Constant(rows(), cols(), s)); \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:178:26:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  178 |         nnz = (A.array() != Scalar(0)).count();
      |               ~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<float, 0, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<float, 0, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::SparseMatrix<float, 0, int> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:58:63:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, Eigen::internal::IteratorBased, float>'
   58 |     typedef typename evaluator<ArgType>::InnerIterator        EvalIterator;
      |                                                               ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:330:16:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  330 |         mask_T = config.mask->transpose();
      |         ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:76:58:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Eigen::Map<Eigen::Matrix<Scalar, Eigen::Dynamic, 1>> b_vec(b, k);
      |                                                          ^~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:81:20:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   81 |         b_vec.array() -= L1;
      |         ~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:99:31:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   99 |         x_vec = x_vec.cwiseMax(static_cast<Scalar>(0));
      |                 ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:104:31:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  104 |         x_vec = x_vec.cwiseMin(upper_bound);
      |                 ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/features/bounds.hpp:41:19:   required from 'void FactorNet::features::apply_upper_bound(FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   41 |     X = X.cwiseMin(upper_bound);
      |         ~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:529:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  529 |             features::apply_upper_bound(H, config.H.upper_bound);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/features/angular.hpp:119:22:   required from 'void FactorNet::features::apply_angular_posthoc(FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  119 |     Factor -= lambda * grad;
      |               ~~~~~~~^~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:531:44:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  531 |             features::apply_angular_posthoc(H, config.H.angular);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/features/angular.hpp:120:29:   required from 'void FactorNet::features::apply_angular_posthoc(FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  120 |     Factor = Factor.cwiseMax(Scalar(0));
      |              ~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:531:44:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  531 |             features::apply_angular_posthoc(H, config.H.angular);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Scalar = float]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:545:30:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  545 |                     H.row(i) /= d(i);
      |                     ~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Scalar = float]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:545:30:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  545 |                     H.row(i) /= d(i);
      |                     ~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                             ~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:109:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  109 |         row_inv_sds = row_sds.cwiseInverse();
      |                       ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:168:17:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  168 |         p0.array() -= static_cast<Scalar>(0.5);
      |         ~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<float, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:210:30:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  210 |             auto h = h_q.head(j);
      |                      ~~~~~~~~^~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:40:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |                           ~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |                           ~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:32:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |                            ~~~~^~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:228:22:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  228 |         Q.col(j) = r / alpha(j);
      |                    ~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Matrix<float, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:324:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  324 |     result.d = svd_b.singularValues().head(k_actual);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1>, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:63:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:37:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |                ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:238:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  238 |         V.col(0).array() -= static_cast<Scalar>(0.5);
      |         ~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:53:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |                                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:37:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:26:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |             ~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:42:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:51:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:43:39:   required from 'struct Eigen::internal::traits<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   43 |   typedef typename MatrixType::Scalar InputScalar;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from 'struct Eigen::internal::traits<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   23 | template<typename T> struct traits<const T> : traits<T> {};
      |                             ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:29:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |             ~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:23:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> > >'
   23 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:29:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |             ~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:29:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |             ~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 0>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = float; RhsScalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int mr = 8; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = float]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 64>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 8, 8, 0, 8, 8>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 8, 8, 0, 8, 8>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:60:37:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   60 |     DenseMatrix<Scalar> FL = factor * laplacian;
      |                              ~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:32:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |                    ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/features/L21.hpp:59:37:   required from 'void FactorNet::features::apply_L21(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   59 |         Scalar row_norm = factor.row(i).norm();
      |                           ~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:511:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  511 |                     features::apply_L21(G, H, config.H.L21);
      |                     ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/fused_nnls.hpp:122:34:   required from 'void FactorNet::primitives::fused_rhs_nnls_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, Scalar, bool, int, bool, Scalar) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  122 |                 b.noalias() -= G * X.col(j);
      |                                ~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:517:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  517 |                     primitives::fused_rhs_nnls_sparse(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  518 |                         A, W_T, G, H,
      |                         ~~~~~~~~~~~~~                 
  519 |                         config.cd_max_iter, config.cd_tol,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  520 |                         config.H.L1,
      |                         ~~~~~~~~~~~~                  
  521 |                         config.H.nonneg,
      |                         ~~~~~~~~~~~~~~~~              
  522 |                         eff_threads,
      |                         ~~~~~~~~~~~~                  
  523 |                         iter > 0,
      |                         ~~~~~~~~~                     
  524 |                         static_cast<Scalar>(0));
      |                         ~~~~~~~~~~~~~~~~~~~~~~~       
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/FactorNet/primitives/cpu/fused_nnls.hpp:210:48:   required from 'void FactorNet::primitives::fused_rhs_cholesky_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, bool, int, bool, Scalar) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  210 |             DenseVector<Scalar> x_j = llt.solve(b);
      |                                       ~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:527:58:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  527 |                     primitives::fused_rhs_cholesky_sparse(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  528 |                         A, W_T, G, H,
      |                         ~~~~~~~~~~~~~                     
  529 |                         config.solver_mode,
      |                         ~~~~~~~~~~~~~~~~~~~               
  530 |                         config.H.L1,
      |                         ~~~~~~~~~~~~                      
  531 |                         config.H.nonneg,
      |                         ~~~~~~~~~~~~~~~~                  
  532 |                         eff_threads,
      |                         ~~~~~~~~~~~~                      
  533 |                         iter > 0,
      |                         ~~~~~~~~~                         
  534 |                         static_cast<Scalar>(0));
      |                         ~~~~~~~~~~~~~~~~~~~~~~~           
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/fused_nnls.hpp:213:35:   required from 'void FactorNet::primitives::fused_rhs_cholesky_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, bool, int, bool, Scalar) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  213 |                 x_j = x_j.cwiseMax(Scalar(0));
      |                       ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:527:58:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  527 |                     primitives::fused_rhs_cholesky_sparse(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  528 |                         A, W_T, G, H,
      |                         ~~~~~~~~~~~~~                     
  529 |                         config.solver_mode,
      |                         ~~~~~~~~~~~~~~~~~~~               
  530 |                         config.H.L1,
      |                         ~~~~~~~~~~~~                      
  531 |                         config.H.nonneg,
      |                         ~~~~~~~~~~~~~~~~                  
  532 |                         eff_threads,
      |                         ~~~~~~~~~~~~                      
  533 |                         iter > 0,
      |                         ~~~~~~~~~                         
  534 |                         static_cast<Scalar>(0));
      |                         ~~~~~~~~~~~~~~~~~~~~~~~           
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/fused_nnls.hpp:216:45:   required from 'void FactorNet::primitives::fused_rhs_cholesky_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, bool, int, bool, Scalar) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  216 |             if (do_upper) x_j = x_j.cwiseMin(upper_bound);
      |                                 ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:527:58:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  527 |                     primitives::fused_rhs_cholesky_sparse(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  528 |                         A, W_T, G, H,
      |                         ~~~~~~~~~~~~~                     
  529 |                         config.solver_mode,
      |                         ~~~~~~~~~~~~~~~~~~~               
  530 |                         config.H.L1,
      |                         ~~~~~~~~~~~~                      
  531 |                         config.H.nonneg,
      |                         ~~~~~~~~~~~~~~~~                  
  532 |                         eff_threads,
      |                         ~~~~~~~~~~~~                      
  533 |                         iter > 0,
      |                         ~~~~~~~~~                         
  534 |                         static_cast<Scalar>(0));
      |                         ~~~~~~~~~~~~~~~~~~~~~~~           
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/nmf/masked_nnls.hpp:138:67:   required from 'void FactorNet::nmf::mask_detail::masked_nnls_h(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  138 |             G_local.noalias() -= W_T.col(r) * W_T.col(r).transpose();
      |                                               ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_cpu.hpp:563:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  563 |                     mask_detail::masked_nnls_h(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  564 |                         A, W_T, G, H, *config.mask, config, eff_threads, iter > 0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/masked_nnls.hpp:138:45:   required from 'void FactorNet::nmf::mask_detail::masked_nnls_h(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  138 |             G_local.noalias() -= W_T.col(r) * W_T.col(r).transpose();
      |                                  ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:563:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  563 |                     mask_detail::masked_nnls_h(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  564 |                         A, W_T, G, H, *config.mask, config, eff_threads, iter > 0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:542:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  542 |                         ? H.row(i).template lpNorm<1>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:543:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  543 |                         : H.row(i).norm();
      |                           ~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:887:68:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  887 |                 sum_s_d(i) = static_cast<double>(W_Td_th.col(i).dot(h_rowsum));
      |                                                  ~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:893:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  893 |                         sum_s_d(i) -= static_cast<double>(W_Td_th.col(i).dot(H.col(j)));
      |                                                           ~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:1513:56:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1513 |                     cross_term += d(r) * W_T.row(r).dot(B_W_full.row(r));
      |                                          ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/nmf/masked_nnls.hpp:211:56:   required from 'void FactorNet::nmf::mask_detail::masked_nnls_w(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&, int, bool) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  211 |                 b.noalias() = H * data.row(j).transpose(); // BLAS fast path
      |                                   ~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_cpu.hpp:808:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  808 |                         mask_detail::masked_nnls_w(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  809 |                             A, H, G, W_T, mask_T_storage, config, eff_threads, iter > 0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/masked_nnls.hpp:211:33:   required from 'void FactorNet::nmf::mask_detail::masked_nnls_w(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&, int, bool) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  211 |                 b.noalias() = H * data.row(j).transpose(); // BLAS fast path
      |                               ~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:808:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  808 |                         mask_detail::masked_nnls_w(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  809 |                             A, H, G, W_T, mask_T_storage, config, eff_threads, iter > 0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/explicit_loss.hpp:94:46:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_dense(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, const Scalar*, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   94 |     DenseMatrix<Scalar> R = W_Td.transpose() * H;
      |                             ~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/lanczos.hpp:126:61:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  126 |         A_norm_sq -= static_cast<Scalar>(n) * mu.squaredNorm();
      |                                               ~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:75:41:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   75 |     DenseVector<Scalar> h = Xk.transpose() * Y.derived();
      |                             ~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:75:44:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   75 |     DenseVector<Scalar> h = Xk.transpose() * Y.derived();
      |                             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:76:33:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Y.derived().noalias() -= Xk * h;
      |                              ~~~^~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:75:44:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   75 |     DenseVector<Scalar> h = Xk.transpose() * Y.derived();
      |                             ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:321:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  321 |             detail::orthog(V, F, j + 1);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:224:68:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  224 |         Eigen::Map<const Eigen::Matrix<Scalar, Eigen::Dynamic, 1>> x_map(x, k);
      |                                                                    ^~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:264:55:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |                 ws.W_nnz_scaled.col(idx) = W_block.col(idx) * dw(idx);
      |                                            ~~~~~~~~~~~^~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:264:61:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |                 ws.W_nnz_scaled.col(idx) = W_block.col(idx) * dw(idx);
      |                                            ~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:65:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:50:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |                                  ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<float, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:295:78:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  295 |             ws.W_scratch.array() = W_T.array().rowwise() * ws.w_vec.transpose().array();
      |                                                            ~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:295:86:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  295 |             ws.W_scratch.array() = W_T.array().rowwise() * ws.w_vec.transpose().array();
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:295:58:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  295 |             ws.W_scratch.array() = W_T.array().rowwise() * ws.w_vec.transpose().array();
      |                                    ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:295:58:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  295 |             ws.W_scratch.array() = W_T.array().rowwise() * ws.w_vec.transpose().array();
      |                                    ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:315:39:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  315 |         ws.b_copy.noalias() -= ws.G_w * ws.x_old;
      |                                ~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:737:69:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  737 |                     result.d(i) = result.W.col(i).template lpNorm<1>();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:739:55:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  739 |                     result.d(i) = result.W.col(i).norm();
      |                                   ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = add_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = add_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = add_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  484 |       typename Dest::RowXpr dst_vec(dst.row(0));
      |                             ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:50:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                               ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:142:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, -1, 1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:418:62:   required from 'void FactorNet::primitives::detail::irls_nnls_col_dense(const DenseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, const Scalar*, const Scalar*) [with Scalar = float; DenseMatType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  418 |         G_w.noalias() = DenseMatrix<Scalar>(W_weighted.matrix()) * W_T.transpose();
      |                                             ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:550:36:   required from 'void FactorNet::primitives::nnls_batch_irls_dense(const DenseMatType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, int, const Scalar*, const Scalar*) [with Scalar = float; DenseMatType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |         detail::irls_nnls_col_dense(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  551 |             A, W_T, j, H.col(j).data(), G_base, loss,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  552 |             L1, L2, nonneg, cd_maxit, cd_tol,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  553 |             irls_max_iter, irls_tol, theta_per_row, theta_per_col);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:591:58:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  591 |                         primitives::nnls_batch_irls_dense(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  592 |                             A_imputed, W_T, G, H, active_loss,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  593 |                             config.H.L1, config.H.L2,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~     
  594 |                             config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~              
  595 |                             config.cd_max_iter, config.cd_tol,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  596 |                             config.irls_max_iter, config.irls_tol,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  597 |                             config.threads, irls_theta_ptr, irls_theta_col_ptr);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:421:73:   required from 'void FactorNet::primitives::detail::irls_nnls_col_dense(const DenseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, const Scalar*, const Scalar*) [with Scalar = float; DenseMatType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  421 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 1> wa = A.col(col_j).array() * w_vec.array();
      |                                                       ~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:550:36:   required from 'void FactorNet::primitives::nnls_batch_irls_dense(const DenseMatType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, int, const Scalar*, const Scalar*) [with Scalar = float; DenseMatType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |         detail::irls_nnls_col_dense(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  551 |             A, W_T, j, H.col(j).data(), G_base, loss,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  552 |             L1, L2, nonneg, cd_maxit, cd_tol,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  553 |             irls_max_iter, irls_tol, theta_per_row, theta_per_col);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:591:58:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  591 |                         primitives::nnls_batch_irls_dense(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  592 |                             A_imputed, W_T, G, H, active_loss,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  593 |                             config.H.L1, config.H.L2,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~     
  594 |                             config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~              
  595 |                             config.cd_max_iter, config.cd_tol,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  596 |                             config.irls_max_iter, config.irls_tol,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  597 |                             config.threads, irls_theta_ptr, irls_theta_col_ptr);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:421:76:   required from 'void FactorNet::primitives::detail::irls_nnls_col_dense(const DenseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, const Scalar*, const Scalar*) [with Scalar = float; DenseMatType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  421 |         Eigen::Matrix<Scalar, Eigen::Dynamic, 1> wa = A.col(col_j).array() * w_vec.array();
      |                                                       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:550:36:   required from 'void FactorNet::primitives::nnls_batch_irls_dense(const DenseMatType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, int, const Scalar*, const Scalar*) [with Scalar = float; DenseMatType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |         detail::irls_nnls_col_dense(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  551 |             A, W_T, j, H.col(j).data(), G_base, loss,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  552 |             L1, L2, nonneg, cd_maxit, cd_tol,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  553 |             irls_max_iter, irls_tol, theta_per_row, theta_per_col);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:591:58:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  591 |                         primitives::nnls_batch_irls_dense(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  592 |                             A_imputed, W_T, G, H, active_loss,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  593 |                             config.H.L1, config.H.L2,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~     
  594 |                             config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~              
  595 |                             config.cd_max_iter, config.cd_tol,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  596 |                             config.irls_max_iter, config.irls_tol,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  597 |                             config.threads, irls_theta_ptr, irls_theta_col_ptr);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1021:87:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1021 |                         sum_s_col(j) = static_cast<double>(W_Td.transpose().row(0).dot(H.col(j)));
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1021:87:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1021 |                         sum_s_col(j) = static_cast<double>(W_Td.transpose().row(0).dot(H.col(j)));
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/cv_detail.hpp:153:51:   required from 'void FactorNet::nmf::detail::irls_solve_col_cv(const MatrixType&, FactorNet::nmf::DenseMatrix<Scalar>&, int, FactorNet::nmf::DenseVector<Scalar>&, const std::vector<int>&, bool, const FactorNet::LossConfig<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::nmf::DenseMatrix<Scalar>&, int) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  153 |             Scalar predicted = W_T.col(te.row).dot(x);
      |                                ~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:450:50:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  450 |                         detail::irls_solve_col_cv(A_imputed, W_T, j, x_local, gram_rows,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |                             config.mask_zeros, config.loss, config, H, m);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:43:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/data_accessor.hpp:149:27:   required from 'static void FactorNet::primitives::DataAccessor<Eigen::Matrix<Type, -1, -1> >::fast_rhs_col(const Matrix&, FactorNet::DenseMatrix<Scalar>&, int, FactorNet::DenseVector<Scalar>&) [with Scalar = float; Matrix = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  149 |         b.noalias() = W_T * A.col(j);
      |                       ~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/masked_nnls.hpp:125:29:   required from 'void FactorNet::nmf::mask_detail::masked_nnls_h(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&, int, bool) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  125 |             DA::fast_rhs_col(A, W_T, j, b);
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:563:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  563 |                     mask_detail::masked_nnls_h(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  564 |                         A, W_T, G, H, *config.mask, config, eff_threads, iter > 0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:383:32:   required from 'void FactorNet::svd::spmv_forward_sparse(const SparseMat&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  383 |         result -= (*row_means) * sum_v;
      |                   ~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:695:28:   required from 'void FactorNet::svd::spmv_forward(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  695 |         spmv_forward_sparse(A, v, result, row_means, threads, ws, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:142:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  142 |         spmv_forward(A, v, out, mu_ptr, eff_threads, &ws, sd_ptr);
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:386:37:   required from 'void FactorNet::svd::spmv_forward_sparse(const SparseMat&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  386 |         result = result.cwiseProduct(*row_inv_sds);
      |                  ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:695:28:   required from 'void FactorNet::svd::spmv_forward(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  695 |         spmv_forward_sparse(A, v, result, row_means, threads, ws, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:142:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  142 |         spmv_forward(A, v, out, mu_ptr, eff_threads, &ws, sd_ptr);
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:37:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  679 |   RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
      |                      ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  691 |     m_scaledMatrix = matrix / scale;
      |                      ~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:32:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  697 |     m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
      |                    ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:60:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  697 |     m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:705:61:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  705 |   RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:765:62:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  765 |       if(computeU() && (a<RealScalar(0))) m_matrixU.col(i) = -m_matrixU.col(i);
      |                                                              ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
  171 |         buffer.setZero();
      |         ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 8, 8, 0, 8, 8>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 8, 8, 0, 8, 8>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]'
  171 |         buffer.setZero();
      |         ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Func = Eigen::internal::assign_op<float, float>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/include/FactorNet/features/L21.hpp:59:45:   required from 'void FactorNet::features::apply_L21(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   59 |         Scalar row_norm = factor.row(i).norm();
      |                           ~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_cpu.hpp:511:40:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  511 |                     features::apply_L21(G, H, config.H.L21);
      |                     ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/explicit_loss.hpp:69:54:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, int, const Scalar*, bool) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   69 |             Scalar predicted = W_Td.col(it.row()).dot(H.col(j));
      |                                ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1702:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1702 |                     loss_val = detail::explicit_loss_sparse(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1703 |                         A, W_Td_loss, H, config.loss, config.threads,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1704 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/primitives.hpp:131:31:   required from 'Scalar FactorNet::primitives::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  131 |     Scalar trBtH = (B.array() * H.array()).sum();
      |                    ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/loss.hpp:52:52:   required from 'Scalar FactorNet::primitives::cpu::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   52 |     return ::FactorNet::primitives::gram_trick_loss(trAtA, G, B, H);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/explicit_loss.hpp:43:44:   required from 'Scalar FactorNet::nmf::detail::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   43 |     return primitives::cpu::gram_trick_loss(trAtA, G, B_original, H);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1762:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1762 |                 loss_val = detail::gram_trick_loss(
      |                            ~~~~~~~~~~~~~~~~~~~~~~~^
 1763 |                     trAtA, G_loss, B_loss, H);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~      
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/primitives.hpp:133:32:   required from 'Scalar FactorNet::primitives::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  133 |     Scalar trGHHt = (H.array() * GH.array()).sum();
      |                     ~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/loss.hpp:52:52:   required from 'Scalar FactorNet::primitives::cpu::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   52 |     return ::FactorNet::primitives::gram_trick_loss(trAtA, G, B, H);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/explicit_loss.hpp:43:44:   required from 'Scalar FactorNet::nmf::detail::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   43 |     return primitives::cpu::gram_trick_loss(trAtA, G, B_original, H);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1762:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1762 |                 loss_val = detail::gram_trick_loss(
      |                            ~~~~~~~~~~~~~~~~~~~~~~~^
 1763 |                     trAtA, G_loss, B_loss, H);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~      
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/svd/spmv.hpp:745:47:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::compute_row_means(const MatrixType&, int) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  745 |         return compute_row_means_dense<Scalar>(A);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/svd/lanczos.hpp:99:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
   99 |         mu = compute_row_means<MatrixType, Scalar>(A, eff_threads);
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:154:35:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |         detail::initialize_lanczos(W_T, H, d, A, k, m, n,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  155 |                                    config.seed, config.threads, config.verbose);
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:148:28:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::compute_row_means_dense(FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  148 |     return A.rowwise().mean();
      |            ~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/spmv.hpp:745:47:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::compute_row_means(const MatrixType&, int) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  745 |         return compute_row_means_dense<Scalar>(A);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/svd/lanczos.hpp:99:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
   99 |         mu = compute_row_means<MatrixType, Scalar>(A, eff_threads);
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:154:35:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |         detail::initialize_lanczos(W_T, H, d, A, k, m, n,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  155 |                                    config.seed, config.threads, config.verbose);
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:418:49:   required from 'void FactorNet::svd::spmv_forward_dense(const DenseMatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with DenseMatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  418 |                     local.noalias() += A.col(j) * vj;
      |                                        ~~~~~~~~~^~~~
../inst/include/FactorNet/svd/spmv.hpp:697:27:   required from 'void FactorNet::svd::spmv_forward(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  697 |         spmv_forward_dense(A, v, result, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:142:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  142 |         spmv_forward(A, v, out, mu_ptr, eff_threads, &ws, sd_ptr);
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:154:35:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |         detail::initialize_lanczos(W_T, H, d, A, k, m, n,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
  155 |                                    config.seed, config.threads, config.verbose);
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:542:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  542 |                         ? H.row(i).template lpNorm<1>()
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<float, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<float, -1, 1>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<float, -1, 1> >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::internal::traits<T>::Scalar = float]'
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:959:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  959 |                 Scalar mean_theta = theta_vec.mean();
      |                                     ~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |             ~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 2, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 2, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 2, 2> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:240:56:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  240 |                 const Scalar recon_i = W_T.col(row).dot(x_map);
      |                                        ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1021:87:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1021 |                         sum_s_col(j) = static_cast<double>(W_Td.transpose().row(0).dot(H.col(j)));
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/svd/spmv.hpp:269:43:   required from 'void FactorNet::svd::spmv_transpose_sparse(const SparseMat&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  269 |         Scalar correction = row_means->dot(*u_eff);
      |                             ~~~~~~~~~~~~~~^~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:679:30:   required from 'void FactorNet::svd::spmv_transpose(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  679 |         spmv_transpose_sparse(A, u, result, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:146:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  146 |         spmv_transpose(A, u, out, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >'
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, 2, 2>, 1, 2, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:76:27:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Y.derived().noalias() -= Xk * h;
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/primitives.hpp:113:29:   required from 'Scalar FactorNet::primitives::trace_AtA(const MatrixType&) [with Resource = CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>]'
  113 |         return A.squaredNorm();
      |                ~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_cv.hpp:351:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  351 |     const Scalar trAtA = primitives::trace_AtA<Resource, Scalar, MatrixType>(A);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = float; RhsScalar = float; Index = long long int; int Mode = 1; bool Conjugate = false]'
  125 |             Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
      |                                                           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = float; RhsScalar = float; Index = long long int; int Mode = 2; bool Conjugate = false]'
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:887:68:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  887 |                 sum_s_d(i) = static_cast<double>(W_Td_th.col(i).dot(h_rowsum));
      |                                                  ~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:893:77:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  893 |                         sum_s_d(i) -= static_cast<double>(W_Td_th.col(i).dot(H.col(j)));
      |                                                           ~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/lanczos.hpp:126:61:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  126 |         A_norm_sq -= static_cast<Scalar>(n) * mu.squaredNorm();
      |                                               ~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  169 |     this->col(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<float, -1, -1>; bool Big = false]'
  846 |     return m = Derived::Identity(m.rows(), m.cols());
      |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:698:45:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  698 |     if(m_computeFullU) m_matrixU.setIdentity(m_rows,m_rows);
      |                        ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>; VectorY = Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>; OtherScalar = float]'
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = float; Derived = Eigen::Matrix<float, 2, 2>; Eigen::Index = long long int]'
  299 |   internal::apply_rotation_in_the_plane(x, y, j);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; RealScalar = float; Index = long long int]'
   46 |   m.applyOnTheLeft(0,1,rot1);
      |   ~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<float, -1, -1>; Functor = assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<float, -1, -1>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<float, -1, -1>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<float, -1, -1>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<float, -1, -1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<float, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:88:38:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   88 |         W_T.bottomRows(k - k_actual) = fill_W;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:737:69:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  737 |                     result.d(i) = result.W.col(i).template lpNorm<1>();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:739:55:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  739 |                     result.d(i) = result.W.col(i).norm();
      |                                   ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
  104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
  141 |     return func(0,rows, 0,cols);
      |            ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]'
  104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Dest = Eigen::Matrix<float, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long long int, general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>, Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long long int]'
  141 |     return func(0,rows, 0,cols);
      |            ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1021:87:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1021 |                         sum_s_col(j) = static_cast<double>(W_Td.transpose().row(0).dot(H.col(j)));
      |                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/cv_detail.hpp:153:51:   required from 'void FactorNet::nmf::detail::irls_solve_col_cv(const MatrixType&, FactorNet::nmf::DenseMatrix<Scalar>&, int, FactorNet::nmf::DenseVector<Scalar>&, const std::vector<int>&, bool, const FactorNet::LossConfig<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::nmf::DenseMatrix<Scalar>&, int) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  153 |             Scalar predicted = W_T.col(te.row).dot(x);
      |                                ~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:450:50:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  450 |                         detail::irls_solve_col_cv(A_imputed, W_T, j, x_local, gram_rows,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |                             config.mask_zeros, config.loss, config, H, m);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:142:21:   required from 'void FactorNet::nmf::detail::rhs_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, int, FactorNet::SparseMatrix<Scalar>*, int) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  142 |         B.noalias() = H * A.transpose();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:783:38:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  783 |                 detail::rhs_transpose(A, H, B, m, n, At_ptr, eff_threads);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:142:21:   required from 'void FactorNet::nmf::detail::rhs_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, int, FactorNet::SparseMatrix<Scalar>*, int) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  142 |         B.noalias() = H * A.transpose();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:783:38:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  783 |                 detail::rhs_transpose(A, H, B, m, n, At_ptr, eff_threads);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, 1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |             ~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; Func = Eigen::internal::scalar_max_op<float, float, 1>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<float, float, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:71:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  679 |   RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<float, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<float, -1, 1>, -1>]'
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<float, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<float, -1, 1>, -1>]'
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
  155 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Side = 1; int Mode = 1]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:158:21:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  158 |     llt.solveInPlace(X);
      |     ~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:472:63:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  472 |                     FactorNet::primitives::cholesky_clip_batch(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  473 |                         G_solve, B_panel, H_panel,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  474 |                         config.H.nonneg, config.threads, false);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 1>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  162 |             pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Side = 1; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:158:21:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  158 |     llt.solveInPlace(X);
      |     ~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:472:63:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  472 |                     FactorNet::primitives::cholesky_clip_batch(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  473 |                         G_solve, B_panel, H_panel,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  474 |                         config.H.nonneg, config.threads, false);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<float, -1, -1>; LhsT = Eigen::Matrix<float, -1, -1>; RhsT = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Func = Eigen::internal::add_assign_op<float, float>; Scalar = float; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >]'
  469 |     call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
      |                                                     ~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/fused_nnls.hpp:122:29:   required from 'void FactorNet::primitives::fused_rhs_nnls_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, Scalar, bool, int, bool, Scalar) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  122 |                 b.noalias() -= G * X.col(j);
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:517:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  517 |                     primitives::fused_rhs_nnls_sparse(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  518 |                         A, W_T, G, H,
      |                         ~~~~~~~~~~~~~                 
  519 |                         config.cd_max_iter, config.cd_tol,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  520 |                         config.H.L1,
      |                         ~~~~~~~~~~~~                  
  521 |                         config.H.nonneg,
      |                         ~~~~~~~~~~~~~~~~              
  522 |                         eff_threads,
      |                         ~~~~~~~~~~~~                  
  523 |                         iter > 0,
      |                         ~~~~~~~~~                     
  524 |                         static_cast<Scalar>(0));
      |                         ~~~~~~~~~~~~~~~~~~~~~~~       
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/explicit_loss.hpp:69:54:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, int, const Scalar*, bool) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   69 |             Scalar predicted = W_Td.col(it.row()).dot(H.col(j));
      |                                ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1702:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1702 |                     loss_val = detail::explicit_loss_sparse(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1703 |                         A, W_Td_loss, H, config.loss, config.threads,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1704 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/primitives.hpp:131:47:   required from 'Scalar FactorNet::primitives::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  131 |     Scalar trBtH = (B.array() * H.array()).sum();
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/cpu/loss.hpp:52:52:   required from 'Scalar FactorNet::primitives::cpu::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   52 |     return ::FactorNet::primitives::gram_trick_loss(trAtA, G, B, H);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/explicit_loss.hpp:43:44:   required from 'Scalar FactorNet::nmf::detail::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   43 |     return primitives::cpu::gram_trick_loss(trAtA, G, B_original, H);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1762:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1762 |                 loss_val = detail::gram_trick_loss(
      |                            ~~~~~~~~~~~~~~~~~~~~~~~^
 1763 |                     trAtA, G_loss, B_loss, H);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~      
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/primitives.hpp:133:49:   required from 'Scalar FactorNet::primitives::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  133 |     Scalar trGHHt = (H.array() * GH.array()).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/primitives/cpu/loss.hpp:52:52:   required from 'Scalar FactorNet::primitives::cpu::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   52 |     return ::FactorNet::primitives::gram_trick_loss(trAtA, G, B, H);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/explicit_loss.hpp:43:44:   required from 'Scalar FactorNet::nmf::detail::gram_trick_loss(Scalar, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   43 |     return primitives::cpu::gram_trick_loss(trAtA, G, B_original, H);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:1762:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1762 |                 loss_val = detail::gram_trick_loss(
      |                            ~~~~~~~~~~~~~~~~~~~~~~~^
 1763 |                     trAtA, G_loss, B_loss, H);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~      
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<float, long long int, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, 4, 1, false, true>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  233 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
      |                                                                                     ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:1386:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1386 |                 DenseVector<Scalar> wdh_j = W_Td_loss.transpose() * H.col(j);
      |                                     ^~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/masked_nnls.hpp:211:29:   required from 'void FactorNet::nmf::mask_detail::masked_nnls_w(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&, int, bool) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  211 |                 b.noalias() = H * data.row(j).transpose(); // BLAS fast path
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:808:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  808 |                         mask_detail::masked_nnls_w(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  809 |                             A, H, G, W_T, mask_T_storage, config, eff_threads, iter > 0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]'
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Functor = assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:324:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  324 |     result.d = svd_b.singularValues().head(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:76:27:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Y.derived().noalias() -= Xk * h;
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:240:56:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  240 |                 const Scalar recon_i = W_T.col(row).dot(x_map);
      |                                        ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:264:42:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  264 |                 ws.W_nnz_scaled.col(idx) = W_block.col(idx) * dw(idx);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:32:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:32:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Func = Eigen::internal::assign_op<float, float>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = float]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = float]'
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = float; Derived = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]'
  315 |   internal::apply_rotation_in_the_plane(x, y, j.transpose());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = float; Scalar = float; Index = long long int]'
  895 |       q.applyOnTheRight(k,k+1,rot);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagType = Eigen::Matrix<float, -1, 1>; SubDiagType = Eigen::Matrix<float, -1, 1>; Eigen::Index = long long int]'
  548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  319 |             pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  320 |                            actualPanelWidth, actual_mc,
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  321 |                            actual_kc, j2);
      |                            ~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, 4, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>; Derived = Eigen::Matrix<float, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>; Derived = Eigen::Matrix<float, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:885:33:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  885 |             DenseVector<Scalar> h_rowsum = H.rowwise().sum();
      |                                 ^~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(4) float; ArgType = Eigen::Matrix<float, -1, -1>; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(4) float; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >; Functor = Eigen::internal::assign_op<float, float>; int Version = 0; Eigen::Index = long long int]'
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from 'static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >, Eigen::internal::assign_op<float, float>, 0>]'
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, member_sum<float, float>, 1>; Functor = assign_op<float, float>]'
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>; Derived = Eigen::Matrix<float, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>; Derived = Eigen::Matrix<float, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:885:33:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  885 |             DenseVector<Scalar> h_rowsum = H.rowwise().sum();
      |                                 ^~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:1386:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1386 |                 DenseVector<Scalar> wdh_j = W_Td_loss.transpose() * H.col(j);
      |                                     ^~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/explicit_loss.hpp:94:25:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_dense(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, const Scalar*, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   94 |     DenseMatrix<Scalar> R = W_Td.transpose() * H;
      |                         ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/explicit_loss.hpp:94:25:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_dense(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, const Scalar*, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   94 |     DenseMatrix<Scalar> R = W_Td.transpose() * H;
      |                         ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/explicit_loss.hpp:94:25:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_dense(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, const Scalar*, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   94 |     DenseMatrix<Scalar> R = W_Td.transpose() * H;
      |                         ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<float, -1, 1>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:269:43:   required from 'void FactorNet::svd::spmv_transpose_sparse(const SparseMat&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  269 |         Scalar correction = row_means->dot(*u_eff);
      |                             ~~~~~~~~~~~~~~^~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:679:30:   required from 'void FactorNet::svd::spmv_transpose(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  679 |         spmv_transpose_sparse(A, u, result, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:146:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  146 |         spmv_transpose(A, u, out, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |             ~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >'
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>]'
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  374 |   this->visit(maxVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  501 |       return maxCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  521 |     RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
      |                                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/fused_nnls.hpp:122:29:   required from 'void FactorNet::primitives::fused_rhs_nnls_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, Scalar, bool, int, bool, Scalar) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  122 |                 b.noalias() -= G * X.col(j);
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:517:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  517 |                     primitives::fused_rhs_nnls_sparse(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  518 |                         A, W_T, G, H,
      |                         ~~~~~~~~~~~~~                 
  519 |                         config.cd_max_iter, config.cd_tol,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  520 |                         config.H.L1,
      |                         ~~~~~~~~~~~~                  
  521 |                         config.H.nonneg,
      |                         ~~~~~~~~~~~~~~~~              
  522 |                         eff_threads,
      |                         ~~~~~~~~~~~~                  
  523 |                         iter > 0,
      |                         ~~~~~~~~~                     
  524 |                         static_cast<Scalar>(0));
      |                         ~~~~~~~~~~~~~~~~~~~~~~~       
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = float; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]'
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = float; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]'
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = float; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]'
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  366 |       dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = float]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = float; RhsScalar = float; Index = long long int; int Mode = 2; bool Conjugate = false]'
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:1386:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1386 |                 DenseVector<Scalar> wdh_j = W_Td_loss.transpose() * H.col(j);
      |                                     ^~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:1386:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1386 |                 DenseVector<Scalar> wdh_j = W_Td_loss.transpose() * H.col(j);
      |                                     ^~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:142:21:   required from 'void FactorNet::nmf::detail::rhs_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, int, FactorNet::SparseMatrix<Scalar>*, int) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  142 |         B.noalias() = H * A.transpose();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:783:38:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  783 |                 detail::rhs_transpose(A, H, B, m, n, At_ptr, eff_threads);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:142:21:   required from 'void FactorNet::nmf::detail::rhs_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, int, FactorNet::SparseMatrix<Scalar>*, int) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  142 |         B.noalias() = H * A.transpose();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:783:38:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  783 |                 detail::rhs_transpose(A, H, B, m, n, At_ptr, eff_threads);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/masked_nnls.hpp:211:29:   required from 'void FactorNet::nmf::mask_detail::masked_nnls_w(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&, int, bool) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  211 |                 b.noalias() = H * data.row(j).transpose(); // BLAS fast path
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:808:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  808 |                         mask_detail::masked_nnls_w(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  809 |                             A, H, G, W_T, mask_T_storage, config, eff_threads, iter > 0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/explicit_loss.hpp:94:25:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_dense(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, const Scalar*, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   94 |     DenseMatrix<Scalar> R = W_Td.transpose() * H;
      |                         ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >; Functor = assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:18:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  697 |     m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:76:27:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Y.derived().noalias() -= Xk * h;
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:76:27:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Y.derived().noalias() -= Xk * h;
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:321:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  321 |             detail::orthog(V, F, j + 1);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:32:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:32:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:315:29:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  315 |         ws.b_copy.noalias() -= ws.G_w * ws.x_old;
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = div_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = Eigen::internal::div_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; Scalar = float]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = div_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = Eigen::internal::div_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = float]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:90:25:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   90 |         llt.solveInPlace(x_vec);
      |         ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |             ~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<float, 1, -1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<float, 1, -1>; Func = Eigen::internal::scalar_max_op<float, float, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<float, 1, -1> >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<float, float, 0>; Derived = Eigen::Matrix<float, 1, -1>; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<float, 1, -1>; typename Eigen::internal::traits<T>::Scalar = float]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<float, 1, -1>; typename Eigen::internal::traits<T>::Scalar = float]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  511 |   RealScalar threshold_helper =  numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows);
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:214:27:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  214 |             G_H.noalias() = W_T * W_T.transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/fused_nnls.hpp:122:29:   required from 'void FactorNet::primitives::fused_rhs_nnls_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, Scalar, bool, int, bool, Scalar) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  122 |                 b.noalias() -= G * X.col(j);
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:517:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  517 |                     primitives::fused_rhs_nnls_sparse(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  518 |                         A, W_T, G, H,
      |                         ~~~~~~~~~~~~~                 
  519 |                         config.cd_max_iter, config.cd_tol,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  520 |                         config.H.L1,
      |                         ~~~~~~~~~~~~                  
  521 |                         config.H.nonneg,
      |                         ~~~~~~~~~~~~~~~~              
  522 |                         eff_threads,
      |                         ~~~~~~~~~~~~                  
  523 |                         iter > 0,
      |                         ~~~~~~~~~                     
  524 |                         static_cast<Scalar>(0));
      |                         ~~~~~~~~~~~~~~~~~~~~~~~       
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/masked_nnls.hpp:211:29:   required from 'void FactorNet::nmf::mask_detail::masked_nnls_w(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&, int, bool) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  211 |                 b.noalias() = H * data.row(j).transpose(); // BLAS fast path
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:808:51:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  808 |                         mask_detail::masked_nnls_w(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~^
  809 |                             A, H, G, W_T, mask_T_storage, config, eff_threads, iter > 0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/explicit_loss.hpp:94:25:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_dense(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, const Scalar*, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   94 |     DenseMatrix<Scalar> R = W_Td.transpose() * H;
      |                         ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/explicit_loss.hpp:94:25:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_dense(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, const Scalar*, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   94 |     DenseMatrix<Scalar> R = W_Td.transpose() * H;
      |                         ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/explicit_loss.hpp:94:25:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_dense(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, const Scalar*, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   94 |     DenseMatrix<Scalar> R = W_Td.transpose() * H;
      |                         ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:76:27:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   76 |     Y.derived().noalias() -= Xk * h;
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:32:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 4, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(4) float; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1430:58:   required from 'PacketType Eigen::internal::evaluator_wrapper_base<XprType>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(4) float; XprType = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; Eigen::Index = long long int]'
 1430 |     return m_argImpl.template packet<LoadMode,PacketType>(index);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(4) float; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> > >; Functor = Eigen::internal::assign_op<float, float>; int Version = 0; Eigen::Index = long long int]'
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from 'static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >, Eigen::internal::evaluator<Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> > >, Eigen::internal::assign_op<float, float>, 0>]'
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |         ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(4) float; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:603:81:   required from 'PacketType Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<UnaryOp, ArgType>, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(4) float; UnaryOp = Eigen::internal::scalar_sqrt_op<float>; ArgType = const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>; typename Eigen::CwiseUnaryOp<UnaryOp, ArgType>::Scalar = float; Eigen::Index = long long int]'
  603 |     return m_d.func().packetOp(m_d.argImpl.template packet<LoadMode, PacketType>(index));
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(4) float; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> > >; Functor = Eigen::internal::assign_op<float, float>; int Version = 0; Eigen::Index = long long int]'
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from 'static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> > >, Eigen::internal::assign_op<float, float>, 0>]'
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |         ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from 'static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >; DenseRhsType = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; DenseResType = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> > >; Res = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = float; Eigen::Index = long long int]'
  145 |       res_i += (alpha*it.value()) * rhs.row(it.index());
      |                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/features/graph_reg.hpp:60:25:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   60 |     DenseMatrix<Scalar> FL = factor * laplacian;
      |                         ^~
../inst/include/FactorNet/nmf/fit_cpu.hpp:509:46:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  509 |                     features::apply_graph_reg(G, *config.H.graph, H, config.H.graph_lambda);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]'
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |         ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cv.hpp:1386:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1386 |                 DenseVector<Scalar> wdh_j = W_Td_loss.transpose() * H.col(j);
      |                                     ^~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/explicit_loss.hpp:94:25:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_dense(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, const Scalar*, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   94 |     DenseMatrix<Scalar> R = W_Td.transpose() * H;
      |                         ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = float]'
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 256>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 16, 16, 0, 16, 16>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >'
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:279:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  279 |             detail::orthog(W, w_col, j);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:78:17:   required from 'void FactorNet::svd::detail::orthog(FactorNet::DenseMatrix<Scalar>&, Eigen::MatrixBase<U>&, int) [with Scalar = float; VecType = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   78 |     h.noalias() = Xk.transpose() * Y.derived();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:321:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  321 |             detail::orthog(V, F, j + 1);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:277:32:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  277 |             ws.recon.noalias() = W_T.transpose() * x_map;
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<float, -1, 1> >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:141:29:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  141 |                 G.noalias() = eig.eigenvectors() * evals.asDiagonal()
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                             * eig.eigenvectors().transpose();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = float]'
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename Dest::Scalar = float]'
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename Dest::Scalar = float]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:266:30:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse_ws(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*, IRLSWorkspace<Scalar>&) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |             ws.G_w.noalias() += ws.W_nnz_scaled.leftCols(nnz_j) * W_block.transpose();
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch_irls.hpp:366:28:   required from 'void FactorNet::primitives::detail::irls_nnls_col_sparse(const SparseMatType&, FactorNet::DenseMatrix<Scalar>&, int, Scalar*, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, Scalar, Scalar, bool, int, Scalar, int, Scalar, bool, const Scalar*, const Scalar*) [with Scalar = float; SparseMatType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  366 |     irls_nnls_col_sparse_ws(
      |     ~~~~~~~~~~~~~~~~~~~~~~~^
  367 |         A, W_T, col_j, x, G_base, loss,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  368 |         L1, L2, nonneg, cd_maxit, cd_tol,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  369 |         irls_max_iter, irls_tol, weight_zeros,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |         theta_per_row, theta_per_col, ws);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:306:80:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  306 |                             FactorNet::primitives::detail::irls_nnls_col_sparse(
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  307 |                                 A_panel, W_T_feat, static_cast<int>(jj), x_loc.data(),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  308 |                                 G_W, active_loss,
      |                                 ~~~~~~~~~~~~~~~~~                               
  309 |                                 static_cast<Scalar>(config.H.L1),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  310 |                                 static_cast<Scalar>(config.H.L2),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~               
  311 |                                 config.H.nonneg, config.cd_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
  312 |                                 static_cast<Scalar>(config.cd_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  313 |                                 config.irls_max_iter,
      |                                 ~~~~~~~~~~~~~~~~~~~~~                           
  314 |                                 static_cast<Scalar>(config.irls_tol),
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  315 |                                 /* weight_zeros = */ true,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~                      
  316 |                                 /* theta_per_row = */ h_theta_row,
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
  317 |                                 /* theta_per_col = */ h_theta_col);
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:337:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = float; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = float]'
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = float]'
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = float]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResultType = float; Scalar = float]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<float, -1, -1>; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 0; Scalar = float; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:331:27:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >; Derived = Eigen::Matrix<float, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:1019:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1019 |                     DenseVector<Scalar> w_colsum = W_Td.colwise().sum().transpose();
      |                                         ^~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:88:41:   required from 'void FactorNet::primitives::detail::cholesky_clip_col(FactorNet::DenseMatrix<Scalar>&, Scalar*, Scalar*, int, Scalar, Scalar, bool, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   88 |         Eigen::LLT<DenseMatrix<Scalar>> llt(G_reg);
      |                                         ^~~
../inst/include/FactorNet/nmf/fit_cv.hpp:464:62:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit_cv(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  464 |                         primitives::detail::cholesky_clip_col(
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  465 |                             G_local_thr, b_local.data(), x_local.data(), k,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  466 |                             config.H.L1, Scalar(0), config.H.nonneg,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  467 |                             config.cd_max_iter, config.cd_tol);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:317:54:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  317 |             result = nmf::nmf_fit_cv<primitives::CPU>(
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  318 |                 A, config, W_init, H_init);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~            
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/explicit_loss.hpp:94:25:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_dense(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, const Scalar*, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   94 |     DenseMatrix<Scalar> R = W_Td.transpose() * H;
      |                         ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/explicit_loss.hpp:94:25:   required from 'Scalar FactorNet::nmf::detail::explicit_loss_dense(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::LossConfig<Scalar>&, const Scalar*, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   94 |     DenseMatrix<Scalar> R = W_Td.transpose() * H;
      |                         ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:1706:59:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
 1706 |                     loss_val = detail::explicit_loss_dense(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1707 |                         A, W_Td_loss, H, config.loss,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
 1708 |                         dispersion_ptr, disp_is_per_col);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = float; bool ConjLhs = false; RhsScalar = float; bool ConjRhs = false; int Version = 0; ResScalar = float]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 16, 16, 0, 16, 16>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 16, 16, 0, 16, 16>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 1, -1, false>; ResultType = float; Scalar = float]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Scalar = float; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:297:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  297 |         d = X.array().abs().rowwise().sum().matrix();
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; ResultType = float; Scalar = float]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Scalar = float; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; Derived = Eigen::Matrix<float, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:299:11:   required from 'void FactorNet::nmf::variant::extract_scaling(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::NormType) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  299 |         d = X.rowwise().norm();
      |         ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_chunked.hpp:550:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_chunked(FactorNet::io::DataLoader<Scalar>&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  550 |             variant::extract_scaling(result.H, result.d, config.norm_type);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:221:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  221 |     return FactorNet::nmf::nmf_chunked<Scalar>(loader_ref, config,
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
  222 |         W_init_ptr.get(), H_init_ptr.get());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:166:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = float; Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68:   required from 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = float; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]'
   89 |     Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = float]'
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = float]'
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = float]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/FactorNet/nmf/variant_helpers.hpp:130:64:   required from 'void FactorNet::nmf::variant::apply_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::FactorConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  130 |             Eigen::SelfAdjointEigenSolver<DenseMatrix<Scalar>> eig(G);
      |                                                                ^~~
../inst/include/FactorNet/nmf/variant_helpers.hpp:202:19:   required from 'void FactorNet::nmf::variant::apply_h_features(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  202 |     apply_features(G, B, H, config.H);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_cpu.hpp:554:47:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  554 |                 nmf::variant::apply_h_features(G, B, H, config);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:450:49:   required from here
  450 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<float, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<float, float>; int Version = 1; Eigen::Index = long long int]'
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/nmf/fit_cpu.hpp:955:41:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_fit(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::DenseMatrix<Scalar>*, FactorNet::DenseMatrix<Scalar>*) [with Resource = FactorNet::primitives::CPU; Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  955 |                     DenseMatrix<Scalar> S = W_Td.transpose() * H;
      |                                         ^
../inst/include/FactorNet/nmf/fit.hpp:127:60:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::detail::dispatch_standard(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, FactorNet::ResourcePlan, FactorNet::nmf::DenseMatrix<Scalar>*, FactorNet::nmf::DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; FactorNet::nmf::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  127 |                 auto result = nmf::nmf_fit<primitives::CPU>(
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  128 |                     A, config, W_init, H_init);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~              
../inst/include/FactorNet/nmf/fit.hpp:321:43:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf(const MatrixType&, const FactorNet::NMFConfig<Scalar>&, DenseMatrix<Scalar>*, DenseMatrix<Scalar>*) [with Scalar = float; MatrixType = Eigen::Matrix<float, -1, -1>; DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  321 |         result = detail::dispatch_standard(A, config, plan, W_init, H_init);
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:455:49:   required from here
  455 |         auto result = FactorNet::nmf::nmf<float>(A_f, fconfig, W_init_f_ptr, H_init_f_ptr);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 16, 16, 1, 16, 16>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 16, 16, 1, 16, 16>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 1, 0, 16, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 1, 0, 16, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 1, 0, 16, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 16, 1, 0, 16, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 16, 1, 0, 16, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 1, 0, 16, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:128:57:   required from 'void FactorNet::nmf::detail::initialize_irlba(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
  128 |     auto svd_result = svd::irlba_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:177:37:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  177 |             detail::initialize_irlba(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  178 |                                      k, static_cast<int>(m), static_cast<int>(n),
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |                                      config.seed, config.threads, verbose);
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<float, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = float; bool ConjLhs = false; RhsScalar = float; bool ConjRhs = false; int Version = 0; ResScalar = float]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = float]'
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:273:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  273 |             Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_check(
      |                                                   ^~~~~~~~~
../inst/include/FactorNet/nmf/nmf_init.hpp:64:59:   required from 'void FactorNet::nmf::detail::initialize_lanczos(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, const MatrixType&, int, int, int, uint32_t, int, bool) [with Scalar = float; MatrixType = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; uint32_t = unsigned int]'
   64 |     auto svd_result = svd::lanczos_svd<MatrixType, Scalar>(A, svd_config);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/fit_streaming_spz.hpp:173:39:   required from 'FactorNet::NMFResult<Scalar> FactorNet::nmf::nmf_streaming_spz(const std::string&, const FactorNet::NMFConfig<Scalar>&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  173 |             detail::initialize_lanczos(W_T_svd, H_svd, d_svd, A_full,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  174 |                                        k, static_cast<int>(m), static_cast<int>(n),
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  175 |                                        config.seed, config.threads, verbose);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_nmf.cpp:579:59:   required from here
  579 |     auto result = FactorNet::nmf::nmf_streaming_spz<float>(path, config);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 1, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 1, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<float, 1, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; SparseMatrixType = Eigen::SparseMatrix<float, 0, int>; DupFunctor = scalar_sum_op<float, float>]'
 1040 |   SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor,StorageIndex> trMat(mat.rows(),mat.cols());
      |                                                                  ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/dense_spz_loader.hpp:244:28:   required from 'static FactorNet::io::DenseSpzLoader<Scalar>::SpMat FactorNet::io::DenseSpzLoader<Scalar>::dense_to_sparse(const Scalar*, uint32_t, uint32_t) [with Scalar = float; SpMat = Eigen::SparseMatrix<float, 0, int>; uint32_t = unsigned int]'
  244 |         mat.setFromTriplets(trips.begin(), trips.end());
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/dense_spz_loader.hpp:149:40:   required from 'bool FactorNet::io::DenseSpzLoader<Scalar>::next_forward(FactorNet::io::Chunk<Scalar>&) [with Scalar = float]'
  149 |         out.matrix    = dense_to_sparse(panel.data(), m_, num_cols);
      |                         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/dense_spz_loader.hpp:129:10:   required from here
  129 |     bool next_forward(Chunk<Scalar>& out) override {
      |          ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<float, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 1, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<float, 1, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<float, 1, int>; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; SparseMatrixType = Eigen::SparseMatrix<float, 0, int>; DupFunctor = scalar_sum_op<float, float>]'
 1063 |   mat = trMat;
      |   ~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/dense_spz_loader.hpp:244:28:   required from 'static FactorNet::io::DenseSpzLoader<Scalar>::SpMat FactorNet::io::DenseSpzLoader<Scalar>::dense_to_sparse(const Scalar*, uint32_t, uint32_t) [with Scalar = float; SpMat = Eigen::SparseMatrix<float, 0, int>; uint32_t = unsigned int]'
  244 |         mat.setFromTriplets(trips.begin(), trips.end());
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/dense_spz_loader.hpp:149:40:   required from 'bool FactorNet::io::DenseSpzLoader<Scalar>::next_forward(FactorNet::io::Chunk<Scalar>&) [with Scalar = float]'
  149 |         out.matrix    = dense_to_sparse(panel.data(), m_, num_cols);
      |                         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/dense_spz_loader.hpp:129:10:   required from here
  129 |     bool next_forward(Chunk<Scalar>& out) override {
      |          ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++20  -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp -DEIGEN_INITIALIZE_MATRICES_BY_ZERO -DEIGEN_NO_DEBUG -DSPARSEPRESS_USE_R -DFACTORNET_USE_R -Wa,-mbig-obj   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c RcppFunctions_svd.cpp -o RcppFunctions_svd.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from RcppFunctions_common.h:7,
                 from RcppFunctions_svd.cpp:6:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet.h:59:57:   required from here
   59 | inline Eigen::VectorXd getColumn(const SpMat& A, int col) {
      |                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet.h:59:57:   required from here
   59 | inline Eigen::VectorXd getColumn(const SpMat& A, int col) {
      |                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, 0>'
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from 'class Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >'
  255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_common.h:18:54:   required from here
   18 | inline MappedSpMat mapSparseMatrix(const Rcpp::S4& s4) {
      |                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
RcppFunctions_common.h:45:43:   required from here
   45 |         gd.degrees = Eigen::VectorXd::Zero(gd.matrix.cols());
      |                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:40:37:   required from here
   40 |     const int k = static_cast<int>(H.rows());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:48:51:   required from here
   48 |     G.triangularView<Eigen::Upper>() = G.transpose();
      |                                        ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:15:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |     ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:23:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |     ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, -1, -1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:61:37:   required from here
   61 |     const int k = static_cast<int>(H.rows());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:61:37:   required from here
   61 |     const int k = static_cast<int>(H.rows());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<float, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:65:51:   required from here
   65 |     G.triangularView<Eigen::Upper>() = G.transpose();
      |                                        ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:15:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |     ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:23:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |     ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<float, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:28:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::SparseMatrix<double, 0, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::CastXpr<NewType>::Type Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
RcppFunctions_svd.cpp:113:53:   required from here
  113 |         graph_u_f = graph_u_data.matrix.cast<Scalar>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Sparse>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >::CastXpr<NewType>::Type Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
RcppFunctions_svd.cpp:126:76:   required from here
  126 |         obs_mask_f = mapSparseMatrix(Rcpp::S4(obs_mask.get())).cast<Scalar>();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/core/svd_result.hpp:26:25:   required from 'struct FactorNet::SVDResult<float>'
   26 |     DenseVector<Scalar> d;
      |                         ^
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
RcppFunctions_svd.cpp:138:59:   required from here
  138 |             Rcpp::as<Eigen::MatrixXd>(A_sexp).cast<Scalar>();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:46:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:46:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<float, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<float, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<float, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<float, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >; Scalar = float]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:45:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >; Scalar = float]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:45:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:18:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~^~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:53:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                                ~~~~~^~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:18:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~^~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:53:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                                ~~~~~^~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double, 0, int> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >, Eigen::internal::IteratorBased, float>'
   27 |       CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                               ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
RcppFunctions_svd.cpp:113:54:   required from here
  113 |         graph_u_f = graph_u_data.matrix.cast<Scalar>();
      |                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
  292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >, Eigen::internal::IteratorBased, float>'
   27 |       CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                               ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
RcppFunctions_svd.cpp:126:77:   required from here
  126 |         obs_mask_f = mapSparseMatrix(Rcpp::S4(obs_mask.get())).cast<Scalar>();
      |                                                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<float, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::CastXpr<double>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
RcppFunctions_svd.cpp:20:58:   required from 'Rcpp::List svd_result_to_list(const FactorNet::SVDResult<Scalar>&) [with Scalar = float; Rcpp::List = Rcpp::Vector<19>]'
   20 |         Rcpp::Named("u") = result.U.template cast<double>(),
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
RcppFunctions_svd.cpp:134:34:   required from here
  134 |         return svd_result_to_list(
      |                ~~~~~~~~~~~~~~~~~~^
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<float, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, 1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >::CastXpr<double>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
RcppFunctions_svd.cpp:21:58:   required from 'Rcpp::List svd_result_to_list(const FactorNet::SVDResult<Scalar>&) [with Scalar = float; Rcpp::List = Rcpp::Vector<19>]'
   21 |         Rcpp::Named("d") = result.d.template cast<double>(),
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
RcppFunctions_svd.cpp:134:34:   required from here
  134 |         return svd_result_to_list(
      |                ~~~~~~~~~~~~~~~~~~^
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:42:14:   required from here
   42 |     G.setZero();
      |     ~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, -1, -1>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:63:14:   required from here
   63 |     G.setZero();
      |     ~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:390:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  390 |         row_inv_sds = row_sds.cwiseInverse();
      |                       ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::SparseMatrix<float, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, Eigen::Sparse>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::SparseMatrix<float, 0, int> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::SparseMatrix<float, 0, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::SparseMatrix<float, 0, int> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >::CastXpr<NewType>::Type Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
../inst/include/FactorNet/svd/deflation.hpp:456:56:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  456 |             A_train_sparse = A.template cast<MatScalar>();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:640:42:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  640 |                 u -= u.dot(U_all.col(r)) * U_all.col(r);
      |                      ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:686:55:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  686 |             DenseVector<Scalar> u_hat = u + beta * (u - u_prev);
      |                                                    ~~~^~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:686:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  686 |             DenseVector<Scalar> u_hat = u + beta * (u - u_prev);
      |                                             ~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:686:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  686 |             DenseVector<Scalar> u_hat = u + beta * (u - u_prev);
      |                                         ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:709:60:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  709 |                 DenseVector<Scalar> wu = u_hat.cwiseProduct(row_weights);
      |                                          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:715:37:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  715 |                     v = spmv_result / u_sq;
      |                         ~~~~~~~~~~~~^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/svd/deflation.hpp:828:41:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  828 |             auto U_prev = U_all.leftCols(k);
      |                           ~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:833:62:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  833 |                 DenseVector<Scalar> dots_u = U_prev.transpose() * u;
      |                                              ~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:833:65:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  833 |                 DenseVector<Scalar> dots_u = U_prev.transpose() * u;
      |                                              ~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:834:39:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  834 |                 u.noalias() -= U_prev * dots_u;
      |                                ~~~~~~~^~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<float, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:917:26:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  917 |     result.d = d_all.head(best_k);
      |                ~~~~~~~~~~^~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:150:20:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  150 |         Omega.array() -= static_cast<Scalar>(0.5);
      |         ~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:171:60:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  171 |     DenseMatrix<Scalar> I_m = DenseMatrix<Scalar>::Identity(m, l);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19:   required from 'class Eigen::HouseholderQR<Eigen::Matrix<float, -1, -1> >'
  242 |     RowVectorType m_temp;
      |                   ^~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, 1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<float, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Matrix<float, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:222:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  222 |     result.d = svd_bt.singularValues().head(k_actual);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1>, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/svd/randomized.hpp:224:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  224 |     result.U = Q * svd_bt.matrixV().leftCols(k_actual);   // m × k
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:224:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  224 |     result.U = Q * svd_bt.matrixV().leftCols(k_actual);   // m × k
      |                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:168:17:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  168 |         p0.array() -= static_cast<Scalar>(0.5);
      |         ~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:32:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |                            ~~~~^~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:37:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |                ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:225:65:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  225 |     DenseVector<Scalar> svratio_prev = DenseVector<Scalar>::Zero(work);  // Previous BS values
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:238:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  238 |         V.col(0).array() -= static_cast<Scalar>(0.5);
      |         ~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/svd/irlba.hpp:399:28:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  399 |             B.topLeftCorner(work, work),
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:53:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |                                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:37:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, long long int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, long long int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<float, 0, long long int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:445:17:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  445 |     OwnedSparse A_train_sparse;
      |                 ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, float>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::Matrix<float, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<float, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::Matrix<float, -1, -1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
../inst/include/FactorNet/svd/deflation.hpp:474:52:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  474 |             A_train_dense = A.template cast<Scalar>();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:533:45:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  533 |         DenseVector<Scalar> h = Xk.transpose() * Y.derived();
      |                                 ~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:533:48:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  533 |         DenseVector<Scalar> h = Xk.transpose() * Y.derived();
      |                                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:534:31:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  534 |         Y.derived().noalias() -= Xk * h;
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:533:48:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  533 |         DenseVector<Scalar> h = Xk.transpose() * Y.derived();
      |                                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:570:19:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  570 |             orthog(V, F, j + 1);
      |             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:37:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |                       ~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:925:62:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  925 |             if (config.nonneg_u) W.col(c) = W.col(c).cwiseMax(static_cast<Scalar>(0));
      |                                             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:926:71:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  926 |             if (config.upper_bound_u > 0) W.col(c) = W.col(c).cwiseMin(config.upper_bound_u);
      |                                                      ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:992:28:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  992 |             Scalar dW = (W - prev_W).norm() / (prev_W.norm() + eps100);
      |                         ~~~^~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   91 |     gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                             ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<float, long long int, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   91 |     gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                             ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<float, float, long long int, Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>, 8, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<float, float, long long int, Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>, 8, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/deflation.hpp:412:68:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  412 |         A_norm_sq -= static_cast<Scalar>(n) * row_means.squaredNorm();
      |                                               ~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:327:45:   required from 'void FactorNet::svd::deflation_correct(FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  327 |     dots.array() *= sigma.head(n_prev).array();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/deflation.hpp:646:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  646 |                 deflation_correct(spmv_result, u, V_all, d_all, U_all, k);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:113:55:   required from 'void FactorNet::svd::compute_row_weights(FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, Scalar, Scalar, FactorNet::DenseVector<Scalar>&, int) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  113 |     DenseVector<Scalar> abs_resid = residuals.cwiseAbs();
      |                                     ~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/deflation.hpp:696:36:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  696 |                 compute_row_weights(spmv_result_unweighted, u, sigma,
      |                 ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  697 |                                     config.robust_delta, row_weights, eff_threads);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:232:23:   required from 'void FactorNet::svd::apply_regularization(FactorNet::DenseVector<Scalar>&, Scalar, Scalar, bool, Scalar, Scalar, Scalar) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  232 |         x = x.cwiseMax(static_cast<Scalar>(0));
      |             ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:737:37:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  737 |                 apply_regularization(v, config.L1_v, config.L2_v,
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  738 |                                      config.nonneg_v, config.upper_bound_v, u_sq,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  739 |                                      config.L21_v);
      |                                      ~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:237:23:   required from 'void FactorNet::svd::apply_regularization(FactorNet::DenseVector<Scalar>&, Scalar, Scalar, bool, Scalar, Scalar, Scalar) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  237 |         x = x.cwiseMin(upper_bound);
      |             ~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:737:37:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  737 |                 apply_regularization(v, config.L1_v, config.L2_v,
      |                 ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  738 |                                      config.nonneg_v, config.upper_bound_v, u_sq,
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  739 |                                      config.L21_v);
      |                                      ~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:266:47:   required from 'void FactorNet::svd::apply_angular_penalty(FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |     x.noalias() -= (angular_lambda / norm_sq) * F * dots;
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/svd/deflation.hpp:740:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  740 |                 apply_angular_penalty(v, V_all, k, config.angular_v, u_sq);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:266:47:   required from 'void FactorNet::svd::apply_angular_penalty(FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |     x.noalias() -= (angular_lambda / norm_sq) * F * dots;
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/svd/deflation.hpp:740:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  740 |                 apply_angular_penalty(v, V_all, k, config.angular_v, u_sq);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:266:51:   required from 'void FactorNet::svd::apply_angular_penalty(FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |     x.noalias() -= (angular_lambda / norm_sq) * F * dots;
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/FactorNet/svd/deflation.hpp:740:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  740 |                 apply_angular_penalty(v, V_all, k, config.angular_v, u_sq);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:290:43:   required from 'void FactorNet::svd::apply_graph_penalty(FactorNet::DenseVector<Scalar>&, FactorNet::SparseMatrix<Scalar>*, Scalar, Scalar) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  290 |     DenseVector<Scalar> Lx = (*laplacian) * x;
      |                              ~~~~~~~~~~~~~^~~
../inst/include/FactorNet/svd/deflation.hpp:741:36:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  741 |                 apply_graph_penalty(v, config.graph_v, config.graph_v_lambda, u_sq);
      |                 ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:291:45:   required from 'void FactorNet::svd::apply_graph_penalty(FactorNet::DenseVector<Scalar>&, FactorNet::SparseMatrix<Scalar>*, Scalar, Scalar) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
  291 |     x.noalias() -= (graph_lambda / norm_sq) * Lx;
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/FactorNet/svd/deflation.hpp:741:36:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  741 |                 apply_graph_penalty(v, config.graph_v, config.graph_v_lambda, u_sq);
      |                 ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<float, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<float, -1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<float, -1, -1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >; Scalar = float]'
   34 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:150:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  150 |         Omega.array() -= static_cast<Scalar>(0.5);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >; Scalar = float]'
   34 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:150:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  150 |         Omega.array() -= static_cast<Scalar>(0.5);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/deflation.hpp:409:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  409 |         A_norm_sq = A.squaredNorm();
      |                     ~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:333:36:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  333 |         auto X_panel = X.middleRows(col_offset, nc);
      |                        ~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:336:41:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  336 |             result.noalias() += D_panel * X_panel;
      |                                 ~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<float, 0, int>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<float, 0, int>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:339:41:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  339 |             result.noalias() += A_panel * X_panel;
      |                                 ~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:346:55:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  346 |         DenseVector<Scalar> col_sums = X.colwise().sum();
      |                                        ~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<float, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:347:60:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  347 |         result -= (*ctx.row_means_ptr) * col_sums.transpose();
      |                                          ~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, 1>, Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, 1>, Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, 1>, Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, 1>, Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, 1>, Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, 1>, Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:347:40:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  347 |         result -= (*ctx.row_means_ptr) * col_sums.transpose();
      |                   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:351:63:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  351 |         result.array().colwise() *= ctx.row_inv_sds_ptr->array();
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:369:35:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  369 |         X_scaled_storage = X.array().colwise() * ctx.row_inv_sds_ptr->array();
      |                            ~~~~~~~^~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:369:48:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  369 |         X_scaled_storage = X.array().colwise() * ctx.row_inv_sds_ptr->array();
      |                            ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:369:48:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  369 |         X_scaled_storage = X.array().colwise() * ctx.row_inv_sds_ptr->array();
      |                            ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:76:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |                                                           ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:79:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |                                                           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<float, 0, int>, 1024>'
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<float, 0, int>, Eigen::Sparse>'
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:382:76:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  382 |             result.middleRows(col_offset, nc).noalias() = A_panel.transpose() * (*X_eff);
      |                                                           ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:382:79:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  382 |             result.middleRows(col_offset, nc).noalias() = A_panel.transpose() * (*X_eff);
      |                                                           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:388:55:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  388 |         DenseVector<Scalar> mu_X = X_eff->transpose() * (*ctx.row_means_ptr);  // k × 1
      |                                    ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/features/L21.hpp:59:37:   required from 'void FactorNet::features::apply_L21(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   59 |         Scalar row_norm = factor.row(i).norm();
      |                           ~~~~~~~~~~^~~
../inst/include/FactorNet/svd/streaming.hpp:893:32:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  893 |             features::apply_L21(G, Wt, config.L21_u);
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<float>, const Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/features/angular.hpp:57:61:   required from 'void FactorNet::features::apply_angular(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   57 |     DenseVector<Scalar> norms = overlap.diagonal().cwiseSqrt();
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/streaming.hpp:896:36:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  896 |             features::apply_angular(G, Wt, config.angular_u);
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/features/angular.hpp:60:24:   required from 'void FactorNet::features::apply_angular(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   60 |             overlap.row(i) /= norms(i);
      |             ~~~~~~~~~~~^~~
../inst/include/FactorNet/svd/streaming.hpp:896:36:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  896 |             features::apply_angular(G, Wt, config.angular_u);
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/features/angular.hpp:65:27:   required from 'void FactorNet::features::apply_angular(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   65 |     G.noalias() += lambda * overlap;
      |                    ~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:896:36:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  896 |             features::apply_angular(G, Wt, config.angular_u);
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:60:37:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   60 |     DenseMatrix<Scalar> FL = factor * laplacian;
      |                              ~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:32:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |                    ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/streaming.hpp:911:81:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  911 |         for (int c = 0; c < k_actual; ++c) norm_sq_vec(c) = V.col(c).squaredNorm();
      |                                                             ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:132:49:   required from 'void FactorNet::svd::detail::StreamingContext<Scalar>::ensure_cache() const [with Scalar = float]'
  132 |                 cached_dense_panels[c] = Eigen::Map<const DenseMatrix<Scalar>>(
      |                                                 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  133 |                     panel.data(), m, nc);
      |                     ~~~~~~~~~~~~~~~~~~~~         
../inst/include/FactorNet/svd/streaming.hpp:1020:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
 1020 |         ctx.ensure_cache();
      |         ~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 0>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = float; RhsScalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int mr = 8; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = float]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 64>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 8, 8, 0, 8, 8>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 8, 8, 0, 8, 8>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<float, 0, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<float, 0, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<float, 0, int>; SrcXprType = Eigen::CwiseUnaryOp<scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >]'
   79 |   const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
      |                                             ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<float, 0, int>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >; Functor = Eigen::internal::assign_op<float, float>; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]'
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from 'Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >; Derived = Eigen::SparseMatrix<float, 0, int>]'
   37 |   internal::Assignment<Derived,OtherDerived,internal::assign_op<Scalar,typename OtherDerived::Scalar> >
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |           ::run(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::SparseMatrix<double, 0, int> >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1239 |     return Base::operator=(other.derived());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
RcppFunctions_svd.cpp:113:54:   required from here
  113 |         graph_u_f = graph_u_data.matrix.cast<Scalar>();
      |                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:383:32:   required from 'void FactorNet::svd::spmv_forward_sparse(const SparseMat&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  383 |         result -= (*row_means) * sum_v;
      |                   ~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:695:28:   required from 'void FactorNet::svd::spmv_forward(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  695 |         spmv_forward_sparse(A, v, result, row_means, threads, ws, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:590:29:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  590 |                 spmv_forward(A_train_sparse, v_vec, out, row_means_ptr, eff_threads, &ws, sd_ptr);
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<float, -1, 1>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:640:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  640 |                 u -= u.dot(U_all.col(r)) * U_all.col(r);
      |                      ~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<float, -1, 1>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:712:37:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  712 |                 Scalar u_sq = wu.dot(u_hat);  // u_hat' diag(w) u_hat
      |                               ~~~~~~^~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:608:62:   required from 'void FactorNet::svd::spmm_transpose_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  608 |         DenseMatrix<Scalar> correction = row_means->transpose() * (*X_eff);  // 1 × l
      |                                          ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/spmv.hpp:730:30:   required from 'void FactorNet::svd::spmm_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  730 |         spmm_transpose_sparse(A, X, Z, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:139:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  139 |         spmm_transpose(A, X, Z, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:608:65:   required from 'void FactorNet::svd::spmm_transpose_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  608 |         DenseMatrix<Scalar> correction = row_means->transpose() * (*X_eff);  // 1 × l
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:730:30:   required from 'void FactorNet::svd::spmm_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  730 |         spmm_transpose_sparse(A, X, Z, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:139:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  139 |         spmm_transpose(A, X, Z, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:37:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  679 |   RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
      |                      ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  691 |     m_scaledMatrix = matrix / scale;
      |                      ~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:60:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  697 |     m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:705:61:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  705 |   RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:765:62:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  765 |       if(computeU() && (a<RealScalar(0))) m_matrixU.col(i) = -m_matrixU.col(i);
      |                                                              ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:240:33:   required from 'void FactorNet::svd::detail::extract_svd_from_factors(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  240 |     DenseMatrix<Scalar> S = R_w * R_h.transpose();
      |                             ~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:773:41:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd_impl(const TrainMatrix&, const OrigMatrix&, const FactorNet::SVDConfig<Scalar>&, std::chrono::_V2::system_clock::time_point) [with TrainMatrix = Eigen::SparseMatrix<float, 0, int>; OrigMatrix = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::chrono::_V2::system_clock::time_point = std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long long int, std::ratio<1, 1000000000> > >]'
  773 |         detail::extract_svd_from_factors(W_scaled, V, result.U, result.d, result.V);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:840:80:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  840 |             return krylov_constrained_svd_impl<OwnedSparse, MatrixType, Scalar>(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  841 |                 A_train, A, config, t_start);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/FactorNet/svd/gateway.hpp:158:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  158 |         return krylov_constrained_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:148:28:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::compute_row_means_dense(FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  148 |     return A.rowwise().mean();
      |            ~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/spmv.hpp:745:47:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::compute_row_means(const MatrixType&, int) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  745 |         return compute_row_means_dense<Scalar>(A);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/svd/deflation.hpp:380:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  380 |         row_means = compute_row_means<MatrixType, Scalar>(A, config.threads);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:148:28:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::compute_row_means_dense(FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  148 |     return A.rowwise().mean();
      |            ~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/spmv.hpp:745:47:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::compute_row_means(const MatrixType&, int) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  745 |         return compute_row_means_dense<Scalar>(A);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/svd/deflation.hpp:380:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  380 |         row_means = compute_row_means<MatrixType, Scalar>(A, config.threads);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:418:49:   required from 'void FactorNet::svd::spmv_forward_dense(const DenseMatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with DenseMatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  418 |                     local.noalias() += A.col(j) * vj;
      |                                        ~~~~~~~~~^~~~
../inst/include/FactorNet/svd/spmv.hpp:697:27:   required from 'void FactorNet::svd::spmv_forward(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  697 |         spmv_forward_dense(A, v, result, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:592:29:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  592 |                 spmv_forward(A_train_dense, v_vec, out, row_means_ptr, eff_threads, static_cast<SpmvWorkspace<Scalar>*>(nullptr), sd_ptr);
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:425:30:   required from 'void FactorNet::svd::spmv_forward_dense(const DenseMatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with DenseMatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  425 |         result.noalias() = A * v;
      |                            ~~^~~
../inst/include/FactorNet/svd/spmv.hpp:697:27:   required from 'void FactorNet::svd::spmv_forward(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  697 |         spmv_forward_dense(A, v, result, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:592:29:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  592 |                 spmv_forward(A_train_dense, v_vec, out, row_means_ptr, eff_threads, static_cast<SpmvWorkspace<Scalar>*>(nullptr), sd_ptr);
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:242:61:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::detail::StreamingContext<Scalar>::compute_row_means() const [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  242 |                 sums += cached_dense_panels[c].rowwise().sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/streaming_matvec.hpp:213:25:   required from 'void FactorNet::svd::detail::StreamingContext<Scalar>::load(const std::string&, bool, bool) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  213 |             row_means = compute_row_means();
      |                         ^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:703:13:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  703 |     ctx.load(config.spz_path, config.center, config.scale);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:295:62:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::detail::StreamingContext<Scalar>::compute_row_sds_streaming() const [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  295 |                 sum_sq += cached_dense_panels[c].cwiseProduct(cached_dense_panels[c]).rowwise().sum();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:219:23:   required from 'void FactorNet::svd::detail::StreamingContext<Scalar>::load(const std::string&, bool, bool) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  219 |             row_sds = compute_row_sds_streaming();
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:703:13:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  703 |     ctx.load(config.spz_path, config.center, config.scale);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:295:100:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::detail::StreamingContext<Scalar>::compute_row_sds_streaming() const [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  295 |                 sum_sq += cached_dense_panels[c].cwiseProduct(cached_dense_panels[c]).rowwise().sum();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/streaming_matvec.hpp:219:23:   required from 'void FactorNet::svd::detail::StreamingContext<Scalar>::load(const std::string&, bool, bool) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  219 |             row_sds = compute_row_sds_streaming();
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:703:13:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  703 |     ctx.load(config.spz_path, config.center, config.scale);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:309:72:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::detail::StreamingContext<Scalar>::compute_row_sds_streaming() const [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  309 |         DenseVector<Scalar> variance = sum_sq / static_cast<Scalar>(n) -
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  310 |                                        row_means.cwiseProduct(row_means);
      |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:219:23:   required from 'void FactorNet::svd::detail::StreamingContext<Scalar>::load(const std::string&, bool, bool) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  219 |             row_sds = compute_row_sds_streaming();
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:703:13:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  703 |     ctx.load(config.spz_path, config.center, config.scale);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:313:48:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::detail::StreamingContext<Scalar>::compute_row_sds_streaming() const [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  313 |         return variance.cwiseMax(eps).cwiseSqrt();
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/streaming_matvec.hpp:219:23:   required from 'void FactorNet::svd::detail::StreamingContext<Scalar>::load(const std::string&, bool, bool) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  219 |             row_sds = compute_row_sds_streaming();
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:703:13:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  703 |     ctx.load(config.spz_path, config.center, config.scale);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Replicate<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, -1, 1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:604:36:   required from 'ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator-=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; ExpressionType = Eigen::Matrix<float, -1, -1>; int Direction = 1]'
  604 |       return m_matrix -= extendedTo(other.derived());
      |                          ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:389:26:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  389 |         result.rowwise() -= mu_X.transpose();
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Scalar = float]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/angular.hpp:60:28:   required from 'void FactorNet::features::apply_angular(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   60 |             overlap.row(i) /= norms(i);
      |             ~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:896:36:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  896 |             features::apply_angular(G, Wt, config.angular_u);
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:43:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:992:42:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  992 |             Scalar dW = (W - prev_W).norm() / (prev_W.norm() + eps100);
      |                         ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = add_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = add_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = add_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  484 |       typename Dest::RowXpr dst_vec(dst.row(0));
      |                             ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:834:29:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  834 |                 u.noalias() -= U_prev * dots_u;
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Replicate<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, -1, 1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:604:36:   required from 'ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator-=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; ExpressionType = Eigen::Matrix<float, -1, -1>; int Direction = 1]'
  604 |       return m_matrix -= extendedTo(other.derived());
      |                          ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:609:21:   required from 'void FactorNet::svd::spmm_transpose_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  609 |         Z.rowwise() -= correction.row(0);
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:730:30:   required from 'void FactorNet::svd::spmm_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  730 |         spmm_transpose_sparse(A, X, Z, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:139:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  139 |         spmm_transpose(A, X, Z, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |                                        ~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:231:121:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  231 |       svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView<Upper>().adjoint();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 2, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 2, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:25:26:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; RealScalar = float; Index = long long int]'
   25 |   Matrix<RealScalar,2,2> m;
      |                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |             ~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:426:117:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  426 |         res(other.template cast<typename internal::matrix_type_times_scalar_type<Scalar,OtherDerived>::ResultScalar>());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/krylov.hpp:229:51:   required from 'void FactorNet::svd::detail::extract_svd_from_factors(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  229 |     DenseMatrix<Scalar> Q_w = qr_w.householderQ() *
      |                               ~~~~~~~~~~~~~~~~~~~~^
  230 |         DenseMatrix<Scalar>::Identity(W.rows(), k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
../inst/include/FactorNet/svd/krylov.hpp:773:41:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd_impl(const TrainMatrix&, const OrigMatrix&, const FactorNet::SVDConfig<Scalar>&, std::chrono::_V2::system_clock::time_point) [with TrainMatrix = Eigen::SparseMatrix<float, 0, int>; OrigMatrix = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::chrono::_V2::system_clock::time_point = std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long long int, std::ratio<1, 1000000000> > >]'
  773 |         detail::extract_svd_from_factors(W_scaled, V, result.U, result.d, result.V);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:840:80:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  840 |             return krylov_constrained_svd_impl<OwnedSparse, MatrixType, Scalar>(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  841 |                 A_train, A, config, t_start);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/FactorNet/svd/gateway.hpp:158:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  158 |         return krylov_constrained_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/spmv.hpp:221:45:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::compute_row_sds_dense(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  221 |         Scalar sum_sq = A.row(i).squaredNorm();
      |                         ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/spmv.hpp:760:45:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::compute_row_sds(const MatrixType&, FactorNet::DenseVector<Scalar>&, int) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  760 |         return compute_row_sds_dense<Scalar>(A, row_means);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:389:74:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  389 |         DenseVector<Scalar> row_sds = compute_row_sds<MatrixType, Scalar>(A, row_means, config.threads);
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:534:31:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  534 |         Y.derived().noalias() -= Xk * h;
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
  171 |         buffer.setZero();
      |         ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 8, 8, 0, 8, 8>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 8, 8, 0, 8, 8>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]'
  171 |         buffer.setZero();
      |         ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Func = Eigen::internal::assign_op<float, float>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; RealScalar = float; Index = long long int]'
   46 |   m.applyOnTheLeft(0,1,rot1);
      |   ~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >'
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, 2, 2>, 1, 2, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; RealScalar = float; Index = long long int]'
   46 |   m.applyOnTheLeft(0,1,rot1);
      |   ~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; OtherScalar = float]'
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = float; Derived = Eigen::Matrix<float, -1, -1>; Eigen::Index = long long int]'
  299 |   internal::apply_rotation_in_the_plane(x, y, j);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:733:40:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  733 |             m_workMatrix.applyOnTheLeft(p,q,j_left);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:298:33:   required from 'void FactorNet::svd::spmv_transpose_dense(const DenseMatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with DenseMatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  298 |         result(j) = A.col(j).dot(*u_eff);
      |                     ~~~~~~~~~~~~^~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:681:29:   required from 'void FactorNet::svd::spmv_transpose(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  681 |         spmv_transpose_dense(A, u, result, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:580:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  580 |                 spmv_transpose(A_train_dense, u_vec, out, row_means_ptr, eff_threads, sd_ptr);
      |                 ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:639:35:   required from 'void FactorNet::svd::spmm_transpose_dense(const DenseMatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with DenseMatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  639 |             Z(j, c) = A.col(j).dot((*X_eff).col(c));
      |                       ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:732:29:   required from 'void FactorNet::svd::spmm_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  732 |         spmm_transpose_dense(A, X, Z, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:139:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  139 |         spmm_transpose(A, X, Z, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/deflation.hpp:412:68:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  412 |         A_norm_sq -= static_cast<Scalar>(n) * row_means.squaredNorm();
      |                                               ~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>; VectorY = Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>; OtherScalar = float]'
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = float; Derived = Eigen::Matrix<float, 2, 2>; Eigen::Index = long long int]'
  299 |   internal::apply_rotation_in_the_plane(x, y, j);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; RealScalar = float; Index = long long int]'
   46 |   m.applyOnTheLeft(0,1,rot1);
      |   ~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  730 |             internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/deflation.hpp:409:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  409 |         A_norm_sq = A.squaredNorm();
      |                     ~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/streaming.hpp:911:81:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  911 |         for (int c = 0; c < k_actual; ++c) norm_sq_vec(c) = V.col(c).squaredNorm();
      |                                                             ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<float, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<float, -1, 1>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<float, -1, 1> >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:382:29:   required from 'void FactorNet::svd::spmv_forward_sparse(const SparseMat&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  382 |         Scalar sum_v = v.sum();
      |                        ~~~~~^~
../inst/include/FactorNet/svd/spmv.hpp:695:28:   required from 'void FactorNet::svd::spmv_forward(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  695 |         spmv_forward_sparse(A, v, result, row_means, threads, ws, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:590:29:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  590 |                 spmv_forward(A_train_sparse, v_vec, out, row_means_ptr, eff_threads, &ws, sd_ptr);
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<float, -1, 1>; U = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:640:27:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  640 |                 u -= u.dot(U_all.col(r)) * U_all.col(r);
      |                      ~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > >'
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >; SrcXprType = Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >; Functor = mul_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >; Src = Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >; Func = mul_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18:   required from 'Derived& Eigen::ArrayBase<Derived>::operator*=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >; Derived = Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >]'
  207 |   call_assignment(derived(), other.derived(), internal::mul_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:327:18:   required from 'void FactorNet::svd::deflation_correct(FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  327 |     dots.array() *= sigma.head(n_prev).array();
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:646:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  646 |                 deflation_correct(spmv_result, u, V_all, d_all, U_all, k);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<float, -1, 1>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:712:37:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  712 |                 Scalar u_sq = wu.dot(u_hat);  // u_hat' diag(w) u_hat
      |                               ~~~~~~^~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, 1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:834:29:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  834 |                 u.noalias() -= U_prev * dots_u;
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]'
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; Func = Eigen::internal::scalar_max_op<float, float, 1>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<float, float, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:71:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  679 |   RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |             ~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:336:30:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  336 |             result.noalias() += D_panel * X_panel;
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:336:30:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  336 |             result.noalias() += D_panel * X_panel;
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:336:30:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  336 |             result.noalias() += D_panel * X_panel;
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:336:30:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  336 |             result.noalias() += D_panel * X_panel;
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:336:30:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  336 |             result.noalias() += D_panel * X_panel;
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:534:31:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  534 |         Y.derived().noalias() -= Xk * h;
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:535:21:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  535 |         h.noalias() = Xk.transpose() * Y.derived();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:535:21:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  535 |         h.noalias() = Xk.transpose() * Y.derived();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:535:21:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  535 |         h.noalias() = Xk.transpose() * Y.derived();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
  155 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Side = 1; int Mode = 1]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:907:29:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  907 |             llt.solveInPlace(Bt);
      |             ~~~~~~~~~~~~~~~~^~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 1>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  162 |             pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Side = 1; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:907:29:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  907 |             llt.solveInPlace(Bt);
      |             ~~~~~~~~~~~~~~~~^~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:992:42:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  992 |             Scalar dW = (W - prev_W).norm() / (prev_W.norm() + eps100);
      |                         ~~~~~~~~~~~~~~~~~^~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
  104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
  141 |     return func(0,rows, 0,cols);
      |            ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]'
  104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Dest = Eigen::Matrix<float, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long long int, general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>, Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long long int]'
  141 |     return func(0,rows, 0,cols);
      |            ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:266:17:   required from 'void FactorNet::svd::apply_angular_penalty(FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |     x.noalias() -= (angular_lambda / norm_sq) * F * dots;
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:740:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  740 |                 apply_angular_penalty(v, V_all, k, config.angular_v, u_sq);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const float&; Eigen::Index = long long int]'
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]'
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = float]'
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const float&; Eigen::Index = long long int]'
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]'
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]'
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = float]'
  291 |     mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]'
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:336:30:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  336 |             result.noalias() += D_panel * X_panel;
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:336:30:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  336 |             result.noalias() += D_panel * X_panel;
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:535:21:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  535 |         h.noalias() = Xk.transpose() * Y.derived();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<float, -1, -1>; LhsT = Eigen::Matrix<float, -1, -1>; RhsT = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Func = Eigen::internal::add_assign_op<float, float>; Scalar = float; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >]'
  469 |     call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
      |                                                     ~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<float, long long int, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, 4, 1, false, true>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  233 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
      |                                                                                     ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:834:29:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  834 |                 u.noalias() -= U_prev * dots_u;
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >'
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>]'
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  374 |   this->visit(maxVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  501 |       return maxCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |             ~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Matrix<float, -1, 1>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:298:33:   required from 'void FactorNet::svd::spmv_transpose_dense(const DenseMatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with DenseMatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  298 |         result(j) = A.col(j).dot(*u_eff);
      |                     ~~~~~~~~~~~~^~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:681:29:   required from 'void FactorNet::svd::spmv_transpose(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  681 |         spmv_transpose_dense(A, u, result, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:580:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  580 |                 spmv_transpose(A_train_dense, u_vec, out, row_means_ptr, eff_threads, sd_ptr);
      |                 ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = float]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:639:35:   required from 'void FactorNet::svd::spmm_transpose_dense(const DenseMatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with DenseMatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  639 |             Z(j, c) = A.col(j).dot((*X_eff).col(c));
      |                       ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:732:29:   required from 'void FactorNet::svd::spmm_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  732 |         spmm_transpose_dense(A, X, Z, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:139:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  139 |         spmm_transpose(A, X, Z, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:534:31:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  534 |         Y.derived().noalias() -= Xk * h;
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:534:31:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  534 |         Y.derived().noalias() -= Xk * h;
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:535:21:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  535 |         h.noalias() = Xk.transpose() * Y.derived();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:535:21:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  535 |         h.noalias() = Xk.transpose() * Y.derived();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:535:21:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  535 |         h.noalias() = Xk.transpose() * Y.derived();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:570:19:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  570 |             orthog(V, F, j + 1);
      |             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = float]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  319 |             pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  320 |                            actualPanelWidth, actual_mc,
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  321 |                            actual_kc, j2);
      |                            ~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:123:23:   required from here
  123 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Func = Eigen::internal::assign_op<float, float>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:132:23:   required from here
  132 |     B.noalias() = H * A;
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:266:17:   required from 'void FactorNet::svd::apply_angular_penalty(FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |     x.noalias() -= (angular_lambda / norm_sq) * F * dots;
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:740:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  740 |                 apply_angular_penalty(v, V_all, k, config.angular_v, u_sq);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:266:17:   required from 'void FactorNet::svd::apply_angular_penalty(FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |     x.noalias() -= (angular_lambda / norm_sq) * F * dots;
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:740:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  740 |                 apply_angular_penalty(v, V_all, k, config.angular_v, u_sq);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/krylov.hpp:240:25:   required from 'void FactorNet::svd::detail::extract_svd_from_factors(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  240 |     DenseMatrix<Scalar> S = R_w * R_h.transpose();
      |                         ^
../inst/include/FactorNet/svd/krylov.hpp:773:41:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd_impl(const TrainMatrix&, const OrigMatrix&, const FactorNet::SVDConfig<Scalar>&, std::chrono::_V2::system_clock::time_point) [with TrainMatrix = Eigen::SparseMatrix<float, 0, int>; OrigMatrix = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::chrono::_V2::system_clock::time_point = std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long long int, std::ratio<1, 1000000000> > >]'
  773 |         detail::extract_svd_from_factors(W_scaled, V, result.U, result.d, result.V);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:840:80:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  840 |             return krylov_constrained_svd_impl<OwnedSparse, MatrixType, Scalar>(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  841 |                 A_train, A, config, t_start);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/FactorNet/svd/gateway.hpp:158:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  158 |         return krylov_constrained_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/krylov.hpp:240:25:   required from 'void FactorNet::svd::detail::extract_svd_from_factors(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  240 |     DenseMatrix<Scalar> S = R_w * R_h.transpose();
      |                         ^
../inst/include/FactorNet/svd/krylov.hpp:773:41:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd_impl(const TrainMatrix&, const OrigMatrix&, const FactorNet::SVDConfig<Scalar>&, std::chrono::_V2::system_clock::time_point) [with TrainMatrix = Eigen::SparseMatrix<float, 0, int>; OrigMatrix = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::chrono::_V2::system_clock::time_point = std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long long int, std::ratio<1, 1000000000> > >]'
  773 |         detail::extract_svd_from_factors(W_scaled, V, result.U, result.d, result.V);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:840:80:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  840 |             return krylov_constrained_svd_impl<OwnedSparse, MatrixType, Scalar>(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  841 |                 A_train, A, config, t_start);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/FactorNet/svd/gateway.hpp:158:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  158 |         return krylov_constrained_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/krylov.hpp:240:25:   required from 'void FactorNet::svd::detail::extract_svd_from_factors(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  240 |     DenseMatrix<Scalar> S = R_w * R_h.transpose();
      |                         ^
../inst/include/FactorNet/svd/krylov.hpp:773:41:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd_impl(const TrainMatrix&, const OrigMatrix&, const FactorNet::SVDConfig<Scalar>&, std::chrono::_V2::system_clock::time_point) [with TrainMatrix = Eigen::SparseMatrix<float, 0, int>; OrigMatrix = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::chrono::_V2::system_clock::time_point = std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long long int, std::ratio<1, 1000000000> > >]'
  773 |         detail::extract_svd_from_factors(W_scaled, V, result.U, result.d, result.V);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:840:80:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  840 |             return krylov_constrained_svd_impl<OwnedSparse, MatrixType, Scalar>(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  841 |                 A_train, A, config, t_start);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/FactorNet/svd/gateway.hpp:158:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  158 |         return krylov_constrained_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/krylov.hpp:240:25:   required from 'void FactorNet::svd::detail::extract_svd_from_factors(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  240 |     DenseMatrix<Scalar> S = R_w * R_h.transpose();
      |                         ^
../inst/include/FactorNet/svd/krylov.hpp:773:41:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd_impl(const TrainMatrix&, const OrigMatrix&, const FactorNet::SVDConfig<Scalar>&, std::chrono::_V2::system_clock::time_point) [with TrainMatrix = Eigen::SparseMatrix<float, 0, int>; OrigMatrix = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::chrono::_V2::system_clock::time_point = std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long long int, std::ratio<1, 1000000000> > >]'
  773 |         detail::extract_svd_from_factors(W_scaled, V, result.U, result.d, result.V);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:840:80:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  840 |             return krylov_constrained_svd_impl<OwnedSparse, MatrixType, Scalar>(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  841 |                 A_train, A, config, t_start);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/FactorNet/svd/gateway.hpp:158:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  158 |         return krylov_constrained_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:336:30:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  336 |             result.noalias() += D_panel * X_panel;
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:336:30:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  336 |             result.noalias() += D_panel * X_panel;
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:834:29:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  834 |                 u.noalias() -= U_prev * dots_u;
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/spmv.hpp:608:29:   required from 'void FactorNet::svd::spmm_transpose_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  608 |         DenseMatrix<Scalar> correction = row_means->transpose() * (*X_eff);  // 1 × l
      |                             ^~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:730:30:   required from 'void FactorNet::svd::spmm_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  730 |         spmm_transpose_sparse(A, X, Z, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:139:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  139 |         spmm_transpose(A, X, Z, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<float, 1, -1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<float, 1, -1>; Func = Eigen::internal::scalar_max_op<float, float, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<float, 1, -1> >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<float, float, 0>; Derived = Eigen::Matrix<float, 1, -1>; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<float, 1, -1>; typename Eigen::internal::traits<T>::Scalar = float]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<float, 1, -1>; typename Eigen::internal::traits<T>::Scalar = float]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:212:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  212 |             r.noalias() -= Q_j * h;
      |             ~~~~~~~~~~~~^~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/krylov.hpp:240:25:   required from 'void FactorNet::svd::detail::extract_svd_from_factors(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  240 |     DenseMatrix<Scalar> S = R_w * R_h.transpose();
      |                         ^
../inst/include/FactorNet/svd/krylov.hpp:773:41:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd_impl(const TrainMatrix&, const OrigMatrix&, const FactorNet::SVDConfig<Scalar>&, std::chrono::_V2::system_clock::time_point) [with TrainMatrix = Eigen::SparseMatrix<float, 0, int>; OrigMatrix = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::chrono::_V2::system_clock::time_point = std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long long int, std::ratio<1, 1000000000> > >]'
  773 |         detail::extract_svd_from_factors(W_scaled, V, result.U, result.d, result.V);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:840:80:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  840 |             return krylov_constrained_svd_impl<OwnedSparse, MatrixType, Scalar>(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  841 |                 A_train, A, config, t_start);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/FactorNet/svd/gateway.hpp:158:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  158 |         return krylov_constrained_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:425:26:   required from 'void FactorNet::svd::spmv_forward_dense(const DenseMatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with DenseMatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  425 |         result.noalias() = A * v;
      |         ~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:697:27:   required from 'void FactorNet::svd::spmv_forward(const MatrixType&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseVector<Scalar>*, int, SpmvWorkspace<Scalar>*, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  697 |         spmv_forward_dense(A, v, result, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:592:29:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  592 |                 spmv_forward(A_train_dense, v_vec, out, row_means_ptr, eff_threads, static_cast<SpmvWorkspace<Scalar>*>(nullptr), sd_ptr);
      |                 ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:140:40:   required from here
  140 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, 4, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>; Derived = Eigen::Matrix<float, -1, 1>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:242:22:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::detail::StreamingContext<Scalar>::compute_row_means() const [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  242 |                 sums += cached_dense_panels[c].rowwise().sum();
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:213:25:   required from 'void FactorNet::svd::detail::StreamingContext<Scalar>::load(const std::string&, bool, bool) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  213 |             row_means = compute_row_means();
      |                         ^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:703:13:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  703 |     ctx.load(config.spz_path, config.center, config.scale);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 4, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(4) float; ArgType = Eigen::Matrix<float, -1, -1>; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(4) float; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >; Functor = Eigen::internal::add_assign_op<float, float>; int Version = 0; Eigen::Index = long long int]'
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from 'static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1> >, Eigen::internal::add_assign_op<float, float>, 0>]'
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, member_sum<float, float>, 1>; Functor = add_assign_op<float, float>]'
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 1>; Derived = Eigen::Matrix<float, -1, 1>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:242:22:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::detail::StreamingContext<Scalar>::compute_row_means() const [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  242 |                 sums += cached_dense_panels[c].rowwise().sum();
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:213:25:   required from 'void FactorNet::svd::detail::StreamingContext<Scalar>::load(const std::string&, bool, bool) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  213 |             row_means = compute_row_means();
      |                         ^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:703:13:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  703 |     ctx.load(config.spz_path, config.center, config.scale);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>; Derived = Eigen::Matrix<float, -1, 1>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:295:24:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::detail::StreamingContext<Scalar>::compute_row_sds_streaming() const [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  295 |                 sum_sq += cached_dense_panels[c].cwiseProduct(cached_dense_panels[c]).rowwise().sum();
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:219:23:   required from 'void FactorNet::svd::detail::StreamingContext<Scalar>::load(const std::string&, bool, bool) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  219 |             row_sds = compute_row_sds_streaming();
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:703:13:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  703 |     ctx.load(config.spz_path, config.center, config.scale);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 4, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(4) float; ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(4) float; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >; Functor = Eigen::internal::add_assign_op<float, float>; int Version = 0; Eigen::Index = long long int]'
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from 'static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<float, -1, 1> >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1> >, Eigen::internal::add_assign_op<float, float>, 0>]'
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, member_sum<float, float>, 1>; Functor = add_assign_op<float, float>]'
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>; Derived = Eigen::Matrix<float, -1, 1>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:295:24:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::detail::StreamingContext<Scalar>::compute_row_sds_streaming() const [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  295 |                 sum_sq += cached_dense_panels[c].cwiseProduct(cached_dense_panels[c]).rowwise().sum();
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:219:23:   required from 'void FactorNet::svd::detail::StreamingContext<Scalar>::load(const std::string&, bool, bool) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  219 |             row_sds = compute_row_sds_streaming();
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:703:13:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  703 |     ctx.load(config.spz_path, config.center, config.scale);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:534:31:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  534 |         Y.derived().noalias() -= Xk * h;
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:535:21:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  535 |         h.noalias() = Xk.transpose() * Y.derived();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:535:21:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  535 |         h.noalias() = Xk.transpose() * Y.derived();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = div_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = Eigen::internal::div_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; Scalar = float]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = div_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = Eigen::internal::div_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = float]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:266:17:   required from 'void FactorNet::svd::apply_angular_penalty(FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int, Scalar, Scalar) [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  266 |     x.noalias() -= (angular_lambda / norm_sq) * F * dots;
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/deflation.hpp:740:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::deflation_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  740 |                 apply_angular_penalty(v, V_all, k, config.angular_v, u_sq);
      |                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:148:49:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  148 |         return deflation_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/spmv.hpp:608:29:   required from 'void FactorNet::svd::spmm_transpose_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  608 |         DenseMatrix<Scalar> correction = row_means->transpose() * (*X_eff);  // 1 × l
      |                             ^~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:730:30:   required from 'void FactorNet::svd::spmm_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  730 |         spmm_transpose_sparse(A, X, Z, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:139:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  139 |         spmm_transpose(A, X, Z, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]'
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:224:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  224 |     result.U = Q * svd_bt.matrixV().leftCols(k_actual);   // m × k
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:224:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  224 |     result.U = Q * svd_bt.matrixV().leftCols(k_actual);   // m × k
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:224:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  224 |     result.U = Q * svd_bt.matrixV().leftCols(k_actual);   // m × k
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:224:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  224 |     result.U = Q * svd_bt.matrixV().leftCols(k_actual);   // m × k
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/krylov.hpp:240:25:   required from 'void FactorNet::svd::detail::extract_svd_from_factors(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  240 |     DenseMatrix<Scalar> S = R_w * R_h.transpose();
      |                         ^
../inst/include/FactorNet/svd/krylov.hpp:773:41:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd_impl(const TrainMatrix&, const OrigMatrix&, const FactorNet::SVDConfig<Scalar>&, std::chrono::_V2::system_clock::time_point) [with TrainMatrix = Eigen::SparseMatrix<float, 0, int>; OrigMatrix = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::chrono::_V2::system_clock::time_point = std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long long int, std::ratio<1, 1000000000> > >]'
  773 |         detail::extract_svd_from_factors(W_scaled, V, result.U, result.d, result.V);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:840:80:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  840 |             return krylov_constrained_svd_impl<OwnedSparse, MatrixType, Scalar>(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  841 |                 A_train, A, config, t_start);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/FactorNet/svd/gateway.hpp:158:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  158 |         return krylov_constrained_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>; Derived = Eigen::Matrix<float, -1, 1>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:295:24:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::detail::StreamingContext<Scalar>::compute_row_sds_streaming() const [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  295 |                 sum_sq += cached_dense_panels[c].cwiseProduct(cached_dense_panels[c]).rowwise().sum();
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:219:23:   required from 'void FactorNet::svd::detail::StreamingContext<Scalar>::load(const std::string&, bool, bool) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  219 |             row_sds = compute_row_sds_streaming();
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:703:13:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  703 |     ctx.load(config.spz_path, config.center, config.scale);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:336:30:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  336 |             result.noalias() += D_panel * X_panel;
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, 1>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/streaming_matvec.hpp:388:29:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  388 |         DenseVector<Scalar> mu_X = X_eff->transpose() * (*ctx.row_means_ptr);  // k × 1
      |                             ^~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/spmv.hpp:608:29:   required from 'void FactorNet::svd::spmm_transpose_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  608 |         DenseMatrix<Scalar> correction = row_means->transpose() * (*X_eff);  // 1 × l
      |                             ^~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:730:30:   required from 'void FactorNet::svd::spmm_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  730 |         spmm_transpose_sparse(A, X, Z, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:139:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  139 |         spmm_transpose(A, X, Z, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/spmv.hpp:608:29:   required from 'void FactorNet::svd::spmm_transpose_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  608 |         DenseMatrix<Scalar> correction = row_means->transpose() * (*X_eff);  // 1 × l
      |                             ^~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:730:30:   required from 'void FactorNet::svd::spmm_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  730 |         spmm_transpose_sparse(A, X, Z, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:139:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  139 |         spmm_transpose(A, X, Z, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/spmv.hpp:608:29:   required from 'void FactorNet::svd::spmm_transpose_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  608 |         DenseMatrix<Scalar> correction = row_means->transpose() * (*X_eff);  // 1 × l
      |                             ^~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:730:30:   required from 'void FactorNet::svd::spmm_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  730 |         spmm_transpose_sparse(A, X, Z, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:139:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  139 |         spmm_transpose(A, X, Z, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = float]'
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 256>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 16, 16, 0, 16, 16>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >'
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]'
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:224:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  224 |     result.U = Q * svd_bt.matrixV().leftCols(k_actual);   // m × k
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:224:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  224 |     result.U = Q * svd_bt.matrixV().leftCols(k_actual);   // m × k
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:211:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  211 |             h.noalias() = Q_j.transpose() * r;
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Functor = add_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Func = add_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:483:34:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  483 |         V1.leftCols(k).noalias() = V.leftCols(work) * BV_mat.topLeftCorner(work, k);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/krylov.hpp:240:25:   required from 'void FactorNet::svd::detail::extract_svd_from_factors(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  240 |     DenseMatrix<Scalar> S = R_w * R_h.transpose();
      |                         ^
../inst/include/FactorNet/svd/krylov.hpp:773:41:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd_impl(const TrainMatrix&, const OrigMatrix&, const FactorNet::SVDConfig<Scalar>&, std::chrono::_V2::system_clock::time_point) [with TrainMatrix = Eigen::SparseMatrix<float, 0, int>; OrigMatrix = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::chrono::_V2::system_clock::time_point = std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long long int, std::ratio<1, 1000000000> > >]'
  773 |         detail::extract_svd_from_factors(W_scaled, V, result.U, result.d, result.V);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:840:80:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  840 |             return krylov_constrained_svd_impl<OwnedSparse, MatrixType, Scalar>(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  841 |                 A_train, A, config, t_start);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/FactorNet/svd/gateway.hpp:158:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  158 |         return krylov_constrained_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/krylov.hpp:240:25:   required from 'void FactorNet::svd::detail::extract_svd_from_factors(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  240 |     DenseMatrix<Scalar> S = R_w * R_h.transpose();
      |                         ^
../inst/include/FactorNet/svd/krylov.hpp:773:41:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd_impl(const TrainMatrix&, const OrigMatrix&, const FactorNet::SVDConfig<Scalar>&, std::chrono::_V2::system_clock::time_point) [with TrainMatrix = Eigen::SparseMatrix<float, 0, int>; OrigMatrix = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::chrono::_V2::system_clock::time_point = std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long long int, std::ratio<1, 1000000000> > >]'
  773 |         detail::extract_svd_from_factors(W_scaled, V, result.U, result.d, result.V);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:840:80:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  840 |             return krylov_constrained_svd_impl<OwnedSparse, MatrixType, Scalar>(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  841 |                 A_train, A, config, t_start);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/FactorNet/svd/gateway.hpp:158:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  158 |         return krylov_constrained_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:336:30:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  336 |             result.noalias() += D_panel * X_panel;
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:535:21:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  535 |         h.noalias() = Xk.transpose() * Y.derived();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:551:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  551 |         if (j > 0) { auto w_col = W.col(j); orthog(W, w_col, j); }
      |                                             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>; ExpressionType = Eigen::Matrix<float, -1, 1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:535:21:   required from 'FactorNet::svd::streaming_irlba_svd<float>(const FactorNet::SVDConfig<float>&)::<lambda(FactorNet::DenseMatrix<float>&, auto:42&, int)> [with auto:42 = Eigen::Matrix<float, -1, 1>; FactorNet::DenseMatrix<float> = Eigen::Matrix<float, -1, -1>]'
  535 |         h.noalias() = Xk.transpose() * Y.derived();
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:570:19:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_irlba_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  570 |             orthog(V, F, j + 1);
      |             ~~~~~~^~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:182:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  182 |         return streaming_irlba_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/features/graph_reg.hpp:60:25:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   60 |     DenseMatrix<Scalar> FL = factor * laplacian;
      |                         ^~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from 'static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >; DenseRhsType = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; DenseResType = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> > >; Res = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = float; Eigen::Index = long long int]'
  145 |       res_i += (alpha*it.value()) * rhs.row(it.index());
      |                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/features/graph_reg.hpp:60:25:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   60 |     DenseMatrix<Scalar> FL = factor * laplacian;
      |                         ^~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = float]'
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename Dest::Scalar = float]'
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename Dest::Scalar = float]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:379:57:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  379 |             result.middleRows(col_offset, nc).noalias() = D_panel.transpose() * (*X_eff);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/features/graph_reg.hpp:63:17:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   63 |     G.noalias() += lambda * FL * factor.transpose();
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/spmv.hpp:608:29:   required from 'void FactorNet::svd::spmm_transpose_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  608 |         DenseMatrix<Scalar> correction = row_means->transpose() * (*X_eff);  // 1 × l
      |                             ^~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:730:30:   required from 'void FactorNet::svd::spmm_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  730 |         spmm_transpose_sparse(A, X, Z, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:139:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  139 |         spmm_transpose(A, X, Z, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = float; bool ConjLhs = false; RhsScalar = float; bool ConjRhs = false; int Version = 0; ResScalar = float]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 16, 16, 0, 16, 16>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 16, 16, 0, 16, 16>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:224:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  224 |     result.U = Q * svd_bt.matrixV().leftCols(k_actual);   // m × k
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:224:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  224 |     result.U = Q * svd_bt.matrixV().leftCols(k_actual);   // m × k
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/krylov.hpp:240:25:   required from 'void FactorNet::svd::detail::extract_svd_from_factors(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  240 |     DenseMatrix<Scalar> S = R_w * R_h.transpose();
      |                         ^
../inst/include/FactorNet/svd/krylov.hpp:773:41:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd_impl(const TrainMatrix&, const OrigMatrix&, const FactorNet::SVDConfig<Scalar>&, std::chrono::_V2::system_clock::time_point) [with TrainMatrix = Eigen::SparseMatrix<float, 0, int>; OrigMatrix = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::chrono::_V2::system_clock::time_point = std::chrono::time_point<std::chrono::_V2::system_clock, std::chrono::duration<long long int, std::ratio<1, 1000000000> > >]'
  773 |         detail::extract_svd_from_factors(W_scaled, V, result.U, result.d, result.V);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/krylov.hpp:840:80:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::krylov_constrained_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  840 |             return krylov_constrained_svd_impl<OwnedSparse, MatrixType, Scalar>(
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  841 |                 A_train, A, config, t_start);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
../inst/include/FactorNet/svd/gateway.hpp:158:58:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  158 |         return krylov_constrained_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, -1, false>; ResultType = float; Scalar = float]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 1; Scalar = float; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 1>; Derived = Eigen::Matrix<float, -1, 1>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:295:24:   required from 'FactorNet::DenseVector<Scalar> FactorNet::svd::detail::StreamingContext<Scalar>::compute_row_sds_streaming() const [with Scalar = float; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  295 |                 sum_sq += cached_dense_panels[c].cwiseProduct(cached_dense_panels[c]).rowwise().sum();
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming_matvec.hpp:219:23:   required from 'void FactorNet::svd::detail::StreamingContext<Scalar>::load(const std::string&, bool, bool) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  219 |             row_sds = compute_row_sds_streaming();
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:703:13:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  703 |     ctx.load(config.spz_path, config.center, config.scale);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  232 |       if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResultType = float; Scalar = float]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::Matrix<float, -1, -1>; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 0; Scalar = float; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/streaming_matvec.hpp:346:29:   required from 'void FactorNet::svd::detail::spmm_forward(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  346 |         DenseVector<Scalar> col_sums = X.colwise().sum();
      |                             ^~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:729:25:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  729 |     detail::spmm_forward(ctx, Omega, Y);
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, 1>, 0>; Derived = Eigen::Matrix<float, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/streaming_matvec.hpp:388:29:   required from 'void FactorNet::svd::detail::spmm_transpose(const StreamingContext<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  388 |         DenseVector<Scalar> mu_X = X_eff->transpose() * (*ctx.row_means_ptr);  // k × 1
      |                             ^~~~
../inst/include/FactorNet/svd/streaming.hpp:744:31:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_randomized_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  744 |         detail::spmm_transpose(ctx, Y, Z);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:178:48:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  178 |         return streaming_randomized_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<float, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<float, float>; int Version = 1; Eigen::Index = long long int]'
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:881:21:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  881 |         G.noalias() = V.transpose() * V;
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:124:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  124 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/streaming.hpp:905:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  905 |             Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                             ^~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/svd/spmv.hpp:608:29:   required from 'void FactorNet::svd::spmm_transpose_sparse(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with Scalar = float; SparseMat = Eigen::SparseMatrix<float, 0, int>; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  608 |         DenseMatrix<Scalar> correction = row_means->transpose() * (*X_eff);  // 1 × l
      |                             ^~~~~~~~~~
../inst/include/FactorNet/svd/spmv.hpp:730:30:   required from 'void FactorNet::svd::spmm_transpose(const MatrixType&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseVector<Scalar>*, int, FactorNet::DenseVector<Scalar>*) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::DenseVector<Scalar> = Eigen::Matrix<float, -1, 1>]'
  730 |         spmm_transpose_sparse(A, X, Z, row_means, threads, row_inv_sds);
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:139:23:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  139 |         spmm_transpose(A, X, Z, mu_ptr, eff_threads, sd_ptr);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 16, 16, 1, 16, 16>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 16, 16, 1, 16, 16>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 1, 0, 16, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 1, 0, 16, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 1, 0, 16, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 16, 1, 0, 16, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 16, 1, 0, 16, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 1, 0, 16, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  409 |           dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |             .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1]'
  364 |       applyThisOnTheLeft(dst, workspace, inputIsIdentity);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:427:25:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; VectorsType = Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Matrix<float, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar = float]'
  427 |       applyThisOnTheLeft(res, internal::is_identity<OtherDerived>::value && res.rows()==res.cols());
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:179:33:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  179 |         Y = qr_y.householderQ() * I_m;
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:224:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  224 |     result.U = Q * svd_bt.matrixV().leftCols(k_actual);   // m × k
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  345 |       householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<float, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:224:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  224 |     result.U = Q * svd_bt.matrixV().leftCols(k_actual);   // m × k
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/lanczos.hpp:327:14:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::lanczos_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  327 |     result.U = Q.leftCols(j_actual) * svd_b.matrixU().leftCols(k_actual);
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:154:47:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  154 |         return lanczos_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/svd/irlba.hpp:508:18:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::irlba_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  508 |         result.U = W.leftCols(work) * BU.leftCols(k_actual);   // m × k_actual
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:156:45:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  156 |         return irlba_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >; Functor = add_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >; Func = add_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>; Derived = Eigen::Matrix<float, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::SparseMatrix<float, 0, int>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/features/graph_reg.hpp:60:25:   required from 'void FactorNet::features::apply_graph_reg(FactorNet::DenseMatrix<Scalar>&, FactorNet::SparseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, Scalar) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>; FactorNet::SparseMatrix<Scalar> = Eigen::SparseMatrix<float, 0, int>]'
   60 |     DenseMatrix<Scalar> FL = factor * laplacian;
      |                         ^~
../inst/include/FactorNet/svd/streaming.hpp:899:38:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::streaming_krylov_svd(const FactorNet::SVDConfig<Scalar>&) [with Scalar = float]'
  899 |             features::apply_graph_reg(G, *config.graph_u, Wt, config.graph_u_lambda);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/gateway.hpp:184:44:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_streaming_gateway(const FactorNet::SVDConfig<Scalar>&, const std::string&) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  184 |         return streaming_krylov_svd<Scalar>(config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
RcppFunctions_svd.cpp:221:54:   required from here
  221 |         FactorNet::svd::svd_streaming_gateway<Scalar>(config, method));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = float; bool ConjLhs = false; RhsScalar = float; bool ConjRhs = false; int Version = 0; ResScalar = float]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = float]'
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  229 |       m_qr.compute(m_adjoint);
      |       ~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  692 |     m_qr_precond_morecols.run(*this, m_scaledMatrix);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]'
  549 |       compute(matrix, computationOptions);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:217:43:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  217 |     Eigen::JacobiSVD<DenseMatrix<Scalar>> svd_bt(
      |                                           ^~~~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<float, float>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<float, -1, -1>; HCoeffs = Eigen::Matrix<float, -1, 1>; MatrixQRScalar = float; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = float]'
  350 |         apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<float, -1, -1>]'
  416 |   internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]'
  132 |       computeInPlace();
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/svd/randomized.hpp:178:51:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::randomized_svd(const MatrixType&, const FactorNet::SVDConfig<Scalar>&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float]'
  178 |         Eigen::HouseholderQR<DenseMatrix<Scalar>> qr_y(Y);
      |                                                   ^~~~
../inst/include/FactorNet/svd/gateway.hpp:152:50:   required from 'FactorNet::SVDResult<Scalar> FactorNet::svd::svd_gateway(const MatrixType&, const FactorNet::SVDConfig<Scalar>&, const std::string&) [with MatrixType = Eigen::SparseMatrix<float, 0, int>; Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  152 |         return randomized_svd<MatrixType, Scalar>(A, config);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
RcppFunctions_svd.cpp:135:40:   required from here
  135 |             FactorNet::svd::svd_gateway(A_f, config, method));
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++ -std=gnu++20  -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp -DEIGEN_INITIALIZE_MATRICES_BY_ZERO -DEIGEN_NO_DEBUG -DSPARSEPRESS_USE_R -DFACTORNET_USE_R -Wa,-mbig-obj   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c RcppFunctions_utils.cpp -o RcppFunctions_utils.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from RcppFunctions_common.h:7,
                 from RcppFunctions_utils.cpp:7:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet.h:59:57:   required from here
   59 | inline Eigen::VectorXd getColumn(const SpMat& A, int col) {
      |                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet.h:59:57:   required from here
   59 | inline Eigen::VectorXd getColumn(const SpMat& A, int col) {
      |                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, 0>'
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from 'class Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >'
  255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppFunctions_common.h:18:54:   required from here
   18 | inline MappedSpMat mapSparseMatrix(const Rcpp::S4& s4) {
      |                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
RcppFunctions_common.h:45:43:   required from here
   45 |         gd.degrees = Eigen::VectorXd::Zero(gd.matrix.cols());
      |                      ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:54:33:   required from here
   54 |     std::vector<double> center(A.rows(), 0.0);
      |                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:157:24:   required from here
  157 |     d = w.rowwise().sum();
      |         ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:158:12:   required from here
  158 |     d.array() += tiny_num<double>();
      |     ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:194:23:   required from here
  194 |         h(0, col) = (b(0) * a(1, 1) - b(1) * a(0, 1)) / denom;
      |                      ~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:194:23:   required from here
  194 |         h(0, col) = (b(0) * a(1, 1) - b(1) * a(0, 1)) / denom;
      |                      ~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:194:30:   required from here
  194 |         h(0, col) = (b(0) * a(1, 1) - b(1) * a(0, 1)) / denom;
      |                             ~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:249:45:   required from here
  249 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:264:29:   required from here
  264 |         a = h * h.transpose();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:181:43:   required from here
  181 |         detail::cd_nnls_col_fixed(G, B.col(j).data(), X.col(j).data(),
      |                                      ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, -1, -1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:204:37:   required from here
  204 |     const int k = static_cast<int>(G.rows());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:204:37:   required from here
  204 |     const int k = static_cast<int>(G.rows());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:221:43:   required from here
  221 |         detail::cd_nnls_col_fixed(G, B.col(j).data(), X.col(j).data(),
      |                                      ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:15:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |     ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:51:23:   required from here
   51 |     G.diagonal().array() += tiny_num<double>();
      |     ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<float, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:65:51:   required from here
   65 |     G.triangularView<Eigen::Upper>() = G.transpose();
      |                                        ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:15:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |     ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:23:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |     ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<float, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:28:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
RcppFunctions_utils.cpp:65:47:   required from here
   65 |     Eigen::MatrixXd WH = W * d.asDiagonal() * H;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
RcppFunctions_utils.cpp:84:32:   required from here
   84 |             return diff.array().square().mean();
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
RcppFunctions_utils.cpp:84:41:   required from here
   84 |             return diff.array().square().mean();
      |                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
RcppFunctions_utils.cpp:300:46:   required from here
  300 |     Eigen::MatrixXd x = Eigen::MatrixXd::Zero(k, b.cols());
      |                         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
RcppFunctions_utils.cpp:323:38:   required from here
  323 |     Eigen::MatrixXd w_T = w.transpose();
      |                           ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, float>, const Eigen::Matrix<double, -1, -1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<float>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::cast() const [with NewType = float]'
   62 | cast() const
      | ^~~~
RcppFunctions_utils.cpp:382:40:   required from here
  382 |     Eigen::MatrixXf w_f = w.cast<float>();
      |                           ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<float, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, double>, const Eigen::Matrix<float, -1, -1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::CastXpr<double>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
RcppFunctions_utils.cpp:389:28:   required from here
  389 |     return h_f.cast<double>();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:158:35:   required from here
  158 |     d.array() += tiny_num<double>();
      |                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:158:35:   required from here
  158 |     d.array() += tiny_num<double>();
      |                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<float, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<float, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<float, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<float, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >; Scalar = float]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:45:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >; Scalar = float]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:66:45:   required from here
   66 |     G.diagonal().array() += tiny_num<float>();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:53:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                                ~~~~~^~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:53:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                                ~~~~~^~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:46:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 0, int> > >'
  292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
RcppFunctions_utils.cpp:40:52:   required from here
   40 |         Eigen::SparseMatrix<double> A_copy(A_mapped);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<float, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:101:27:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  101 |     MatS W_T = W.transpose();  // k x m
      |                ~~~~~~~~~~~^~
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:110:24:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  110 |     MatS H = MatS::Zero(k, n);
      |              ~~~~~~~~~~^~~~~~
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:142:30:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  142 |                 B_panel.array() -= L1;
      |                 ~~~~~~~~~~~~~^~
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:157:16:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  157 |         H.block(0, col_start, k, nc) = H_panel;
      |         ~~~~~~~^~~~~~~~~~~~~~~~~~~~~
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<float, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<float, -1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<float, -1, -1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >; Scalar = float]'
   34 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:142:33:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  142 |                 B_panel.array() -= L1;
      |                 ~~~~~~~~~~~~~~~~^~~~~
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >; Scalar = float]'
   34 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:142:33:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  142 |                 B_panel.array() -= L1;
      |                 ~~~~~~~~~~~~~~~~^~~~~
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<float, float, 0>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:162:23:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  162 |         X = X.cwiseMax(static_cast<Scalar>(0));
      |             ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   91 |     gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                             ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<float, long long int, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   91 |     gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                             ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<float, float, long long int, Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>, 8, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<float, float, long long int, Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>, 8, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:126:36:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  126 |             B_panel.col(jj).setZero();
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 0>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = float; RhsScalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int mr = 8; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = float]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 64>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 8, 8, 0, 8, 8>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 8, 8, 0, 8, 8>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:43:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:91:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  484 |       typename Dest::RowXpr dst_vec(dst.row(0));
      |                             ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = add_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<double, 0, int>; Scalar = double; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<double, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:81:20:   required from here
   81 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = add_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:67:32:   required from 'void FactorNet::primitives::rhs_sparse_impl(const SparseMat&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, int) [with SparseMat = Eigen::SparseMatrix<float, 0, int>; Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
   67 |             B.col(j).noalias() += it.value() * H.col(it.row());
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/rhs.hpp:93:20:   required from here
   93 |     rhs_sparse_impl(A, H, B);
      |     ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >]'
   79 |   const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
      |                                             ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]'
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from 'Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >; Derived = Eigen::SparseMatrix<double, 0, int>]'
   37 |   internal::Assignment<Derived,OtherDerived,internal::assign_op<Scalar,typename OtherDerived::Scalar> >
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |           ::run(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
 1239 |     return Base::operator=(other.derived());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
RcppFunctions_utils.cpp:40:52:   required from here
   40 |         Eigen::SparseMatrix<double> A_copy(A_mapped);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:462:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  462 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::sub_assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Func = Eigen::internal::sub_assign_op<float, float>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:462:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  462 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::sub_assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
  171 |         buffer.setZero();
      |         ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Matrix<double, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:45:49:   required from here
   45 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 8, 8, 0, 8, 8>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 8, 8, 0, 8, 8>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]'
  171 |         buffer.setZero();
      |         ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<float, -1, -1>; OtherType = Eigen::Matrix<float, -1, -1>; int UpLo = 1; typename MatrixType::Scalar = float]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; unsigned int UpLo = 1; Scalar = float]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/gram.hpp:64:49:   required from here
   64 |     G.selfadjointView<Eigen::Lower>().rankUpdate(H);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<float, -1, -1>; Functor = assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<float, -1, -1>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<float, -1, -1>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<float, -1, -1>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Matrix<float, -1, -1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<float, -1, -1>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:157:38:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  157 |         H.block(0, col_start, k, nc) = H_panel;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 2>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
  155 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Side = 1; int Mode = 1]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Matrix<float, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:158:21:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  158 |     llt.solveInPlace(X);
      |     ~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 1>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  162 |             pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Side = 1; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<float, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:158:21:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  158 |     llt.solveInPlace(X);
      |     ~~~~~~~~~~~~~~~~^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
  104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
  141 |     return func(0,rows, 0,cols);
      |            ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]'
  104 |       pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Dest = Eigen::Matrix<float, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long long int, general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>, Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long long int]'
  141 |     return func(0,rows, 0,cols);
      |            ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  366 |       dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<float, long long int, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, 4, 1, false, true>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  233 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
      |                                                                                     ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 2, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:157:25:   required from here
  157 |     d = w.rowwise().sum();
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from 'static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >, Eigen::internal::assign_op<double, double>, 0>]'
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:157:25:   required from here
  157 |     d = w.rowwise().sum();
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = float]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  319 |             pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  320 |                            actualPanelWidth, actual_mc,
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  321 |                            actual_kc, j2);
      |                            ~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::sub_assign_op<double, double>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:462:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
  462 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::sub_assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:171:28:   required from here
  171 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Func = Eigen::internal::sub_assign_op<float, float>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:462:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]'
  462 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::sub_assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = sub_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Matrix<float, -1, -1>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/nnls_batch.hpp:211:28:   required from here
  211 |         B.noalias() -= G * X;
      |                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = div_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = Eigen::internal::div_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>; Scalar = float]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = div_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = Eigen::internal::div_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = float]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >; Functor = add_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
RcppFunctions_utils.cpp:179:47:   required from here
  179 |     Eigen::MatrixXd WH = w * d.asDiagonal() * h;
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 2, 2>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/FactorNet/clustering/bipartition.hpp:346:45:   required from here
  346 |         Eigen::Matrix2d a = w * w.transpose();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:360:29:   required from here
  360 |         a = h * h.transpose();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:360:29:   required from here
  360 |         a = h * h.transpose();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]'
  109 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/primitives/cpu/cholesky_clip.hpp:154:37:   required from 'void FactorNet::primitives::cholesky_clip_batch(FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, FactorNet::DenseMatrix<Scalar>&, bool, int, bool) [with Scalar = float; FactorNet::DenseMatrix<Scalar> = Eigen::Matrix<float, -1, -1>]'
  154 |     Eigen::LLT<DenseMatrix<Scalar>> llt(G);
      |                                     ^~~
../inst/include/FactorNet/nmf/nnls_streaming.hpp:144:55:   required from 'Eigen::Matrix<Type, -1, -1> FactorNet::nmf::nnls_streaming_spz(const std::string&, const Eigen::Matrix<Type, -1, -1>&, int, Scalar, Scalar, Scalar, Scalar, bool, int, int) [with Scalar = float; std::string = std::__cxx11::basic_string<char>]'
  144 |             FactorNet::primitives::cholesky_clip_batch(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  145 |                 G_solve, B_panel, H_panel,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  146 |                 nonneg, threads, false);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~                
RcppFunctions_utils.cpp:383:68:   required from here
  383 |     Eigen::MatrixXf h_f = FactorNet::nmf::nnls_streaming_spz<float>(
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  384 |         path, w_f,
      |         ~~~~~~~~~~                                                  
  385 |         static_cast<int>(cd_maxit), static_cast<float>(cd_tol),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  386 |         static_cast<float>(L1), static_cast<float>(L2),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~             
  387 |         static_cast<float>(upper_bound), nonneg,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                    
  388 |         /* solver_mode = */ 0, static_cast<int>(threads));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:360:29:   required from here
  360 |         a = h * h.transpose();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 2, 2>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, 2, 2>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/clustering/bipartition.hpp:360:29:   required from here
  360 |         a = h * h.transpose();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 1, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 1, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<float, 1, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; SparseMatrixType = Eigen::SparseMatrix<float, 0, int>; DupFunctor = scalar_sum_op<float, float>]'
 1040 |   SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor,StorageIndex> trMat(mat.rows(),mat.cols());
      |                                                                  ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/dense_spz_loader.hpp:244:28:   required from 'static FactorNet::io::DenseSpzLoader<Scalar>::SpMat FactorNet::io::DenseSpzLoader<Scalar>::dense_to_sparse(const Scalar*, uint32_t, uint32_t) [with Scalar = float; SpMat = Eigen::SparseMatrix<float, 0, int>; uint32_t = unsigned int]'
  244 |         mat.setFromTriplets(trips.begin(), trips.end());
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/dense_spz_loader.hpp:149:40:   required from 'bool FactorNet::io::DenseSpzLoader<Scalar>::next_forward(FactorNet::io::Chunk<Scalar>&) [with Scalar = float]'
  149 |         out.matrix    = dense_to_sparse(panel.data(), m_, num_cols);
      |                         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/dense_spz_loader.hpp:129:10:   required from here
  129 |     bool next_forward(Chunk<Scalar>& out) override {
      |          ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<float, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 1, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<float, 1, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<float, 1, int>; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; SparseMatrixType = Eigen::SparseMatrix<float, 0, int>; DupFunctor = scalar_sum_op<float, float>]'
 1063 |   mat = trMat;
      |   ~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; _Scalar = float; int _Options = 0; _StorageIndex = int]'
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/dense_spz_loader.hpp:244:28:   required from 'static FactorNet::io::DenseSpzLoader<Scalar>::SpMat FactorNet::io::DenseSpzLoader<Scalar>::dense_to_sparse(const Scalar*, uint32_t, uint32_t) [with Scalar = float; SpMat = Eigen::SparseMatrix<float, 0, int>; uint32_t = unsigned int]'
  244 |         mat.setFromTriplets(trips.begin(), trips.end());
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/dense_spz_loader.hpp:149:40:   required from 'bool FactorNet::io::DenseSpzLoader<Scalar>::next_forward(FactorNet::io::Chunk<Scalar>&) [with Scalar = float]'
  149 |         out.matrix    = dense_to_sparse(panel.data(), m_, num_cols);
      |                         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/dense_spz_loader.hpp:129:10:   required from here
  129 |     bool next_forward(Chunk<Scalar>& out) override {
      |          ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<float, 0, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<float, 0, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20:   required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<float, 0, int>; SrcXprType = Eigen::SparseMatrix<float, 0, int>]'
   77 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<float, 0, int>; SrcXprType = Eigen::SparseMatrix<float, 0, int>; Functor = Eigen::internal::assign_op<float, float>; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]'
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix<float, 0, int>; Src = Eigen::SparseMatrix<float, 0, int>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix<float, 0, int>; Src = Eigen::SparseMatrix<float, 0, int>]'
  917 |   call_assignment_no_alias(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:45:37:   required from 'Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Derived&) [with Derived = Eigen::SparseMatrix<float, 0, int>]'
   45 |   internal::call_assignment_no_alias(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:778:26:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = float; int _Options = 0; _StorageIndex = int]'
  778 |           Base::operator=(other);
      |           ~~~~~~~~~~~~~~~^~~~~~~
../inst/include/FactorNet/io/spz_loader.hpp:181:27:   required from 'bool FactorNet::io::SpzLoader<Scalar>::next_forward(FactorNet::io::Chunk<Scalar>&) [with Scalar = float]'
  181 |             out.matrix    = csc_typed_to_eigen(csc, m_, nc);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/FactorNet/io/spz_loader.hpp:162:10:   required from here
  162 |     bool next_forward(Chunk<Scalar>& out) override {
      |          ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++20  -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp -DEIGEN_INITIALIZE_MATRICES_BY_ZERO -DEIGEN_NO_DEBUG -DSPARSEPRESS_USE_R -DFACTORNET_USE_R -Wa,-mbig-obj   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c gpu_stubs.cpp -o gpu_stubs.o
g++ -std=gnu++20  -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -fopenmp -DEIGEN_INITIALIZE_MATRICES_BY_ZERO -DEIGEN_NO_DEBUG -DSPARSEPRESS_USE_R -DFACTORNET_USE_R -Wa,-mbig-obj   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c sparsepress_bridge.cpp -o sparsepress_bridge.o
g++ -std=gnu++20 -shared -s -static-libgcc -o RcppML.dll tmp.def RcppExports.o RcppFunctions_graph.o RcppFunctions_nmf.o RcppFunctions_svd.o RcppFunctions_utils.o gpu_stubs.o sparsepress_bridge.o -fopenmp -LD:/RCompile/recent/R/bin/x64 -lRlapack -LD:/RCompile/recent/R/bin/x64 -lRblas -lgfortran -lquadmath -Ld:/rtools45/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools45/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
installing to d:/RCompile/CRANincoming/R-devel/lib/00LOCK-RcppML/00new/RcppML/libs/x64
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (RcppML)